Will AI Finally Make TDD Practical? | Diffblue’s Animesh Mishra

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Andrew Stein: Living with Lions 46:39

9 วันที่แล้ว46:39

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46:39

“If we march into that village and we start trying to persecute people for using poison, something that's very illegal, nobody's going to talk to us. We're not going to find out where the poison came from. We're not going to be able to shut anything down. We should take the approach that people are using poison because they're desperate, because they see no other alternative.” – Andrew Stein Andrew Stein is a wildlife ecologist who spent the past 25 years studying human carnivore conflict from African wild dogs and lions in Kenya and Botswana to leopards and hyenas in Namibia. His work has long focused on finding ways for people and predators to coexist. He is the founder of CLAWS , an organization based in Botswana that's working at the intersection of cutting-edge wildlife research and community driven conservation. Since its start in 2014 and official launch as an NGO in 2020, CLAWS has been pioneering science-based, tech-forward strategies to reduce conflict between people and carnivores. By collaborating closely with local communities, especially traditional cattle herders, CLAWS supports both species conservation and rural livelihoods—making coexistence not just possible, but sustainable.…

ประมาณหนึ่งปีที่แล้ว 46:04

MP3•หน้าโฮมของตอน

This week, host Andrew Zigler sits down with Animesh Mishra, Senior Solutions Engineer at Diffblue, to unpack the gap between TDD's theoretical appeal and its practical challenges.

Animesh draws from his extensive experience to explain how deterministic AI can address the key challenges of building trust in AI for testing. These aren’t LLMs of today, but foundational machine learning models that can evaluate all possible branches of a piece of code to write test coverage for it. Imagine writing two years worth of tests for a legacy codebase… in two hours… with no errors!

If you enjoyed this conversation about the gaps between theory and execution in engineering culture, be sure to check out last week's chat with David Mytton about shift left adoption by engineering teams.

Check out:

Follow the hosts:

Follow Ben
Follow Andrew

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Support the show:

Subscribe to our Substack
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Offers:

Learn about Continuous Merge with gitStream
Get your DORA Metrics free forever

221 ตอน

#Tech #LinearB #Development #Software #Software Development #Data #Agile #DevOps

Dev Interrupted

Will AI Finally Make TDD Practical? | Diffblue’s Animesh Mishra

Dev Interrupted

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published ประมาณหนึ่งปีที่แล้ว

แบ่งปัน

MP3•หน้าโฮมของตอน

This week, host Andrew Zigler sits down with Animesh Mishra, Senior Solutions Engineer at Diffblue, to unpack the gap between TDD's theoretical appeal and its practical challenges.

Check out:

Follow the hosts:

Follow Ben
Follow Andrew

Follow today's guest(s):

Support the show:

Subscribe to our Substack
Leave us a review
Subscribe on YouTube
Follow us on Twitter or LinkedIn

Offers:

Learn about Continuous Merge with gitStream
Get your DORA Metrics free forever

221 ตอน

#Tech #LinearB #Development #Software #Software Development #Data #Agile #DevOps

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23 weeksที่แล้ว47:40

47:40

There’s AI agents. There’s AI tooling. Do either drive business impact or are they just more things your dev team is supposed to stay on top of? Birgitta Boeckeler, Global Lead for AI Assisted Software Delivery at ThoughtWorks, joins the show to discuss the practical applications of AI in software delivery. She shares her research on AI agents, highlights areas where AI hasn't lived up to the hype, and offers concrete examples of useful AI tools for development teams. Dan Lines then joins the conversation to provide his perspective on how engineering leaders can leverage these insights to effectively implement AI within their own teams. He also discusses LinearB's efforts in helping software teams measure the business impact of AI. Show Notes: 2025 Engineering Benchmarks Insights Webinar Refactoring x Dev Interrupted Survey Birgitta’s LinkedIn Birgitta’s website Martin Fowler Memos Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

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Open Source Meets AI | Red Hat's Scott McCarty 45:38

24 weeksที่แล้ว45:38

45:38

Open source has transformed software development, but can it do the same for AI? In this episode of Dev Interrupted, Conor Bronsdon talks with Scott McCarty, Senior Principal Product Manager at Red Hat, about the potential of open source AI to revolutionize enterprise DevOps. They discuss the challenges and opportunities of open source AI, including licensing, security, and the need for community-driven development. McCarty argues that open source AI is crucial for building trust and ensuring that AI benefits everyone, not just a select few. Show Notes: 2025 Engineering Benchmarks Insights Webinar Refactoring x Dev Interrupted Survey Scott’s LinkedIn Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

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Back to First Principles | Productiv CTO Ashish Aggarwal 38:45

25 weeksที่แล้ว38:45

38:45

Everyone knows the era of growth at all costs is over, but where does that leave us? And specifically, where does that leave founders? The answer is straightforward: founders have to start thinking like business people. This week, Conor Bronsdon interviews Ashish Aggarwal, founder and CTO of Productive and an active investor in over 30 companies. Ashish shares his insights on how startups are adapting to the new “efficient growth” environment, why this paradigm shift is an opportunity for founders, and how the pressures of efficiency have created incentives for companies to move towards geo-distributed teams instead of co-located teams. Show Notes: Refactoring x Dev Interrupted Survey Ashish’s LinkedIn 2024 State of SaaS Consolidation Report Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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The Real Measure of Success in Platform Engineering | MassDriver CEO Cory O'Daniel 45:04

26 weeksที่แล้ว45:04

45:04

It’s time we recognize the idea of a ‘Golden Path’ is unrealistic. In this episode of Dev Interrupted, host Dan Lines is joined by Cory O'Daniel, CEO of MassDriver, to discuss Cory’s provocative article 'DevOps is Bullshit'. They cover the pitfalls of DevOps, the evolution of cloud operations and whether or not platform engineering is the solution the industry needs . Cory shares insights on why many organizations struggle with DevOps implementation, the impact of cloud technology on traditional operations, and how internal developer platforms are reshaping the industry. Topics: 01:03 Where has DevOps gone wrong? 04:19 Have we changed or does DevOps mean something different? 11:51 Platform engineering in 2024 20:10 How can platform engineering leaders measure success? 26:40 Why are new hires being put in charge of DevOps? 29:53 Getting buy in for a better platform engineering experience 39:13 Are internal developer platforms a fad? Show Notes: Refactoring x Dev Interrupted Survey Cory O'Daniel Massdriver - Standardize Infrastructure | Enhance Developer Experience | Enable Self-Service Cory O’Daniel k8s/acc (@coryodaniel) / X DevOps is Bullshit Bridging Cloud Talent Gap Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

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Transforming Customer Support with AI | DevRev’s Co-founder & CEO Dheeraj Pandey 49:52

27 weeksที่แล้ว49:52

49:52

This week, host Conor Bronsdon chats with Dheeraj Pandey, CEO and co-founder of DevRev. Dheeraj shares his incredible journey from leading Nutanix to a valuation of $16 billion, to now striving to build another unicorn with DevRev. Dheeraj opens up about the lessons learned from his entrepreneurial journey, emphasizing the significance of having a holistic approach to building products and companies. He explores how his experiences at Nutanix have shaped his vision at DevRev, especially in terms of integrating AI as a core component rather than a mere add-on. The discussion also covers a range of topics including the transformative power of AI in business operations, customer-centric design, and the importance of balancing innovative technology with intuitive user experience. Topics: 02:49 What inspired you to start DevRev? 08:38 How did you decide not to take a bolt on approach to AI? 11:30 What can other entrepreneurs learn from you about levelling up their abilities? 16:42 How are you approaching scaling up DevRel? 28:11 How is DevRev thinking about AI driven design? 44:52 What's happening with DevRev's leadership in AI? Links: Dheeraj Pandey Dheeraj Pandey Dheeraj Pandey (@dheeraj) / X DevRev (@devrev) Dheeraj Pandey Download the Engineering Leader’s Guide to Accelerating Developer Productivity Unified Support Opening Windows Founder Mode Overcoming Growth Crises Zanzibar: Google’s Consistent, Global Authorization System Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

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Observability as a Success Catalyst | Momento’s Co-Founder & CTO Daniela Miao 42:05

28 weeksที่แล้ว42:05

42:05

This week, co-host Conor Bronsdon sits down with Daniela Miao, co-founder and CTO of Momento, to discuss her journey from DynamoDB at AWS to founding the real-time data infrastructure platform Momento. Daniela covers the importance of observability, the decision to rebuild Momento's stack with Rust, and how observability can speed up development cycles. They also explore strategies for aligning technical projects with business objectives, building team trust, and the critical role of communication in achieving success. Tune in for valuable insights on leadership, technical decision-making, and startup growth. Topics: 02:01 Why is observability often treated as an auxiliary service? 06:14 Making a push for observability 13:32 Picking the right metrics to observe and pay attention to 15:49 Has the technical shift to Rust paid off? 19:23 How did you create trust and buy in from your team to make a switch? 26:31 What could other teams learn from Momento’s move to Rust? 38:15 Advice would you give for other technical founders? Links: Daniela Miao The Momento Blog Momento: An enterprise-ready serverless platform for caching and pub/sub Unpacking the 2023 DORA Report w/ Nathen Harvey of Google Cloud Google SRE Rust Programming Language Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

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Iteration Velocity is the Key to Engineering Success | Vercel’s Malte Ubl 37:51

29 weeksที่แล้ว37:51

37:51

This week, our host Dan Lines chats with Malte Ubl, CTO of Vercel, about why iteration speed is a game-changer for teams trying to deliver more efficiently. Malte shares how accelerating the development cycle and embracing platform engineering can supercharge productivity, helping teams ship faster and innovate more effectively. We explore what it really means to streamline workflows, reduce bottlenecks, and create an environment where developers can focus on what they do best—building great products. Malte also gives us a behind-the-scenes look at how engineering strategies are evolving to keep up with the ever-growing demands. Topics: 01:14 How do you see platform engineering changing the way modern software engineering functions? 04:52 Decentralized vs. centralized teams? 11:40 How Vercel is using AI 13:30 All about AI SDKs 20:41 How should platform engineering teams should be using AI? 28:02 Power struggles between high level ICs and a high level managers? 30:10 Key factors to focus on when optimizing AI applications? 35:11 Advice for other CTOs or engineering leaders Links: Malte Ubl (@cramforce) About Malte Ubl Malte Ubl v0 by Vercel Vercel: Build and deploy the best web experiences with the Frontend Cloud Download the Engineering Leader’s Guide to Accelerating Developer Productivity Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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How Specialized Models Drive Developer Productivity | Tabnine’s Brandon Jung 45:50

30 weeksที่แล้ว45:50

45:50

What are the limitations of general large language models, and when should you evaluate more specialized models for your team’s most important use case? This week, Conor Bronsdon sits down with Brandon Jung, Vice President of Ecosystem at Tabnine, to explore the difference between specialized models and LLMs. Brandon highlights how specialized models outperform LLMs when it comes to specific coding tasks, and how developers can leverage tailored solutions to improve developer productivity and code quality. The conversation covers the importance of data transparency, data origination, cost implications, and regulatory considerations such as the EU's AI Act. Whether you're a developer looking to boost your productivity or an engineering leader evaluating solutions for your team, this episode offers important context on the next wave of AI solutions Topics: 00:31 Specialized models vs. LLMs 01:56 The problems with LLMs and data integrity 12:34 Why AGI is further away than we think 16:11 Evaluating the right models for your engineering team 23:42 Is AI code secure? 26:22 How to adjust to work with AI effectively 32:48 Training developers in the new AI world Links : Brandon Jung on LinkedIn Brandon Jung (@brandoncjung) / X Tabnine (@tabnine) / X Tabnine AI code assistant | Private, personalized, protected Managing Bot-Generated PRs & Reducing Team Workload by 6% Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Agentic AI: Dissecting the Future of AI Workflows | Memra's Founder Amir Behbehani 45:14

31 weeksที่แล้ว45:14

45:14

Engineering teams are already seeing efficiency gains by leveraging Gen AI solutions like Copilot, but the next wave of AI workflows has the potential to 10X productivity. This week, we’re exploring the world of Agentic AI with Amir Behbehani, Chief AI Engineer and Founder of Memra. Agentic AI can be defined as AI agents or systems that have the capacity to make decisions or take actions on their own based on the objectives they are programmed to achieve. These AI systems act independently, gathering information, processing it, and then choosing or executing actions without direct human intervention. Amir shares how Memra is leading the way in developing AI agents capable of handling complex tasks, decision-making, and improving productivity across industries. He also discusses the implications of AI in reshaping how businesses operate, and how organizations can prepare for a future where AI plays a central role in both day-to-day operations and high-level strategic decisions. Whether you're an AI enthusiast, an engineering leader, or curious about the future of automation, this episode offers a deep dive into the possibilities and challenges of Agentic AI and what it means for the future of work. Chapters: 01:23 Defining Agentic AI 07:02 Frameworks for thinking about Agentic AI 12:52 Unpacking AI as a black box 13:58 How Agentic AI will benefit software engineers 22:55 What would be a good starting point to leverage agents on an engineering team? 26:46 Will agents replace freelancers and the gig economy? 36:20 What is the synthetic marketplace? 40:11 How Agentic AI impacts writing code Links: Supercharge Your Operations with AI-Powered Agents | Memra Amir Behbehani Managing Bot-Generated PRs & Reducing Team Workload by 6% Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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The Rising Demand for Soft Skills in Engineering | LinkedIn’s VPE Aarathi Vidyasagar 45:22

32 weeksที่แล้ว45:22

45:22

According to a LinkedIn study, engineers with strong soft skills are promoted 13% faster than those with only technical skills. Given how AI will continue to reshape market demands for developers and engineering leaders, how can you adapt to these changes and further your career? This week we’re joined by Aarathi Vidyasagar, VP of Engineering at LinkedIn, to explore the growing importance of soft skills and how leadership, communication, and empathy are becoming just as critical as technical expertise. Aarathi shares how LinkedIn is preparing engineers to thrive in this new environment, focusing on upskilling teams to navigate AI and empower collaboration and innovation through strong interpersonal skills. She offers valuable takeaways into building engineering teams that balance hard technical abilities with the soft skills needed to lead, mentor, and work effectively in diverse teams. For anyone interested in the future of engineering and the rising demand for soft skills, this episode offers an important perspective on how to equip your teams for long-term success in an AI-driven world. Episode Highlights: 00:56 How industry changes have impacted the need for communication and soft skills 04:31 How software development is going to continue to change 12:33 Generalists vs Specialists 15:52 How is LinkedIn positioned for the new era of hiring? 31:11 How is LinkedIn approaching developer experience and productivity? 36:33 How to support devs in automating migrations Show Notes: Aarathi on LinkedIn Closing the Tech Talent Gap Managing Bot-Generated PRs & Reducing Team Workload by 6% Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Finding the Best Gen AI Use Case for Your Dev Team | Sonar’s Peter McKee 34:51

34 weeksที่แล้ว34:51

34:51

Gen AI for dev teams has been a focal point of conversation for the last few years, but the technology and application are both still very nascent. How can you find the best Gen AI use case for your team, and implement it safely? This week, our host Dan Lines sits down with Peter McKee, Vice President of Developer Relations and Community at Sonar. They explore the benefits and risks associated with Gen AI, and whether this new tooling is most impactful for junior or senior developers. Regardless of the persona, there needs to be an emphasis on quality control, static code analysis, and the new coaching strategies to help the influx of new code. Tune in to hear Dan and Peter offer practical advice for engineering leaders on safely experimenting with and integrating Gen AI tools to enhance productivity without sacrificing quality. Episode Highlights: 00:33 The ins and out of being a VP of Developer Relations and Community 04:48 The Importance of wisdom and experience when applying Gen AI 08:32 Is there more of a risk for junior developers in this age? 19:51 How tooling can help with the influx of Gen AI Code 26:02 The safe ways to roll out Gen AI to developers 29:21 Where to start applying Gen AI for your team Show Notes: Peter McKee (@pmckee) / X Peter McKee Better Code & Better Software | Ultimate Security and Quality | Sonar Download The Engineering Leader’s Guide to Accelerating Developer Productivity Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Mastering Developer Experience at Shopify | Eytan Seidman, Director of Product 43:02

35 weeksที่แล้ว43:02

43:02

In an organization as big as Shopify, how can you pioneer exceptional developer experience not only for your team but also for external developers using your product? This week we’re joined by Eytan Seidman, Director of Product at Shopify to unpack Shopify's approach to building elite engineering teams. Eytan highlights how Shopify’s high-context, high-autonomy culture empowers engineers and product managers to innovate and drive impact. By leveraging a mission-driven culture, Shopify ensures that internal and external developers can contribute effectively to the platform, without being bottlenecked back by inefficient processes or developer experience. Tune in this week, and discover how you can implement the same processes that have made Shopify so successful. Episode Highlights: 00:50 What makes engineering and product roles at Shopify special? 03:31 How Shopify onboards new hires to drive impact 09:05 Pioneering developer experience at Shopify 13:28 How Shopify defines success for their platform 17:50 Building high-context, empowered teams 29:35 Leveraging AI and LLM’s as a growth opportunity 35:29 Advice for product and engineering leaders thinking about their next career step Show Notes: Eytan Seidman x.com/eytanseidman Shopify Shopify Developers Platform—Build. Innovate. Get paid. Download your copy of the 2024 Software Engineering Benchmarks Report here Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Helping Government Software Teams Move Faster | Carnegie Mellon's Robin Yeman 23:55

36 weeksที่แล้ว23:55

23:55

Both the aerospace and defense sectors are renowned for long project timelines rife with silos and hurdles that get in the way of productivity. With over 20 years of experience at Lockheed Martin and elsewhere, Robin Yeman literally wrote the book Industrial DevOps on how to implement DevOps principles at traditional behemoths to build faster, safer systems. As Space Domain Lead at Carnegie Mellon's Software Engineering Institute, Robin’s pioneering work reveals how applying DevOps principles can significantly improve speed, quality, and collaboration at traditional enterprises. She emphasizes the importance of cross-functional teams, modular architectures, and a growth mindset in driving innovation and overcoming the challenges of digital transformation within the aerospace and defense sectors. Tune in to gain practical insights about the application of DevOps in large-scale systems, the role of organizational design in fostering communication, and how these principles have helped government software teams. Episode Highlights: - 01:12 Robin’s book Industrial DevOps - 04:00 How did Robin’s work at Lockheed Martin lead to Carnegie Mellon? - 05:46 How should you get started thinking about industrial DevOps? - 08:01 How Robin’s research came together across varied experiences - 10:25 What patterns can you adapt to be more successful? - 16:54 Quantitative vs. qualitative data when making long term plans - 20:27 Shifting left in Industrial DevOps Show Notes: Robin Yeman Industrial DevOps Wiring the Winning Organization - IT Revolution Download your copy of the Gen AI Impact Report today Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Scaling Smart: Strategies for Product Development | Semgrep’s Adam Berman 39:48

37 weeksที่แล้ว39:48

39:48

Scaling new product lines within a growing company can be both an opportunity and quite challenging. Semgrep's Head of Engineering Adam Berman joined us this week to share his own experience developing Semgrep's second product line. Adam was instrumental in developing Semgrep's second product line, and he shares practical strategies for moving from a single-product to a multi-product organization. He unpacks the challenges of organizational design, the importance of fast iteration and feedback loops, and how to build a cohesive company identity with so many moving parts. If you want to learn how to effectively scale products and how to drive product growth, this episode is a must-listen. Episode Highlights: 1:10 The challenges of new product lines 4:25 Scaling teams for success and strategies for growth 7:30 Finding the right balance between practicality and innovation 12:15 A startup within a startup mentality 18:40 Learning through experimentation 23:55 Key considerations when navigating product market fit 28:20 Driving growth in engineering teams Show Notes: Adam Berman on LinkedIn Adam Berman (@adamberman_13) / X Semgrep Download your copy of the Essential Guide to Software Engineering Intelligence Platforms Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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From Mentor to Manager: How to Get Into Engineering Management | Asana’s Amanda Sopkin 25:52

39 weeksที่แล้ว25:52

25:52

This week, co-host Conor Bronsdon sits down with Amanda Sopkin, Engineering Manager at Asana. Amanda shares her journey from software engineer to manager, discussing the pivotal moment she chose to pursue management over an individual contributor path. We cover the indicators of a successful manager, the red flags to watch for, and the importance of mentorship. Amanda emphasizes the value of finding the right fit for team members, tailoring leadership styles, and developing a balanced team. Tune in for insights on managing senior versus junior engineers, promoting team members, and striking a balance between professional growth and personal fulfillment. Episode Highlights: 00:49 Amanda’s Path to Engineering Management 04:58 How to tailor your leadership style to your team 06:40 Unlocking the potential of your team 13:25 Keeping track of your team members individual needs 17:43 Management career goals 20:31 What Amanda is passionate about within engineering Show Notes: Amanda Sopkin on LinkedIn Amanda Sopkin on Twitter / X Amanda Sopkin’s website Amanda Sopkin on GitHub Asana Project Management Software Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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The Rise of Cloud Costs, and How to Optimize Them | Plaid’s Mark Robinson 24:58

40 weeksที่แล้ว24:58

24:58

“If you're not careful, cloud computing can lose more money faster than any invention in history” - Mark Robinson, Infrastructure Engineer at Plaid This week, guest host Ben Lloyd Pearson sits down with Plaid’s Mark Robinson to learn how he helped Plaid save 25% in costs by optimizing existing resources and eliminating waste in cloud computing. Mark explains the importance of understanding your cloud bill, identifying areas of overspend, and implementing changes that lead to significant savings. From the basics of tagging resources to the intricacies of optimizing network and storage costs, Mark offers practical tips that can help you uncover countless optimization opportunities. Tune in to learn about the rewards of improving cloud cost efficiency, the role of organizational buy-in, and the benefits of making cost optimization a company-wide value. Episode Highlights: 00:56 How did cloud computing get so expensive? 02:34 Digging into what your costs actually are 04:55 How can you account for the various services you use? 07:35 Where are organizations going to get the most value out of? 12:26 Cloud costs relation to better code quality 16:08 Blockers in organizations to cost savings 19:32 Getting buy-in from leadership on cutting cloud costs Show Notes: Download your copy of the Essential Guide to Software Engineering Intelligence https://www.finops.org/ https://www.linkedin.com/in/mark-robinson-944084b Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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AI Hype Cycle: How to Find Real and Practical vs. Shiny | OpenAI’s Louis Brandy 44:17

41 weeksที่แล้ว44:17

44:17

AI is the biggest hype cycle happening in tech right now, but how do you know what’s actually going to make an impact for your product and team vs. what’s just new and shiny? This week, LinearB COO & Co-founder Dan Lines sits down with Louis Brandy, Member of Technical Staff OpenAI and ex-VP of Engineering at Rockset. Louis shares his unique perspective on the evolution of AI, drawing from his experiences with early days AI work at Meta and now with OpenAI following their acquisition of Rockset. He shares grounded insights into the realities of AI, separating fact from fiction in an industry often clouded by buzzwords and unrealistic expectations. Listeners will learn about the practical applications of AI, the challenges and opportunities it presents, and how to go past the hype to find AI's potential. Whether you're an AI enthusiast, a skeptic, or a professional looking to understand the true impact of AI for engineering teams, this episode offers an insightful look at one of the most talked-about topics in tech today. Episode Highlights: 00:32 Louis Brandy's background with AI at Meta 04:31 The current AI hype cycle 13:09 How should engineering leaders think about AI and the pressure to use it? 17:58 How to know if you’re falling into the hype cycle 25:50 AI vs. human code 34:42 Real time when it comes to AI 38:36 What should an IC do about AI in their career path? Show Notes: OpenAI Acquires Rockset Download your copy of the Essential Guide to Software Engineering Intelligence Platforms Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Realistic Product Roadmaps and Other Lies | Best Egg’s Johnny Ray Austin 43:57

42 weeksที่แล้ว43:57

43:57

When we first saw the talk titled “Space Aliens Are Among Us, Your Product Roadmap is Realistic and Other Lies you Believe,” we knew we had to sit down with Best Egg’s Johnny Ray Austin at LeadingEng SF last year. Johnny joined our host Conor Bronsdon to discuss how engineering leaders can navigate unrealistic expectations and pressures, drawing from his experiences and relating product roadmaps to the less-than-tangible UFO disclosure we’ve seen in recent years. The conversation explores the pressures engineering leaders face, how to align product roadmaps realistically, and how to manage ambiguity within teams. By aligning engineering goals with business objectives and building a transparent, high-performing engineering culture, you can give your teams the context they need to drive focus and concentration toward the right outcomes. Episode Highlights: 1:36 Where Johnny came up with the talk title "Space Aliens Are Among Us" 4:15 Advice for engineering leaders struggling with roadmap realism 6:44 Cutting through the noise to find the metrics that matter 11:41 How do teams know if they're moving fast in the right direction? 14:58 How do you handle teams that are getting the wrong input? 20:32 Lies we tell ourselves that we need to get past 28:32 What it’s like to create a new unit inside a company 33:53 Identifying and dealing with ambiguity on your teams 40:45 Johnny’s Thoughts on AI Show Notes Download your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) Platforms Johnny Ray Austin Personal Loans | Quick & Easy Application | Best Egg Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Labs: Everything You Need to Know About Software Engineering Intelligence (SEI) 38:37

43 weeksที่แล้ว38:37

38:37

Engineering leaders have long used value stream management and CI/CD tools to improve software delivery practices. However, an increasing demand for cost and efficiency is leading to the adoption of new technologies. Enterprises are quickly adopting tools that combine deeper levels of visibility into the SDLC with net-new workflow automations, leading to a better developer experience and increased output. This week's labs episode takes an in-depth look at Software Engineering Intelligence (SEI) Platforms and how engineering teams are using this new technology to gain a competitive advantage. LinearB’s COO and Co-founder Dan Lines along with co-host Conor Bronsdon cover the evolution of SEI, its core capabilities, and how these tools are being used to drive predictability, resource investment strategy and an improved developer experience. Join our journey into the data insights and workflow automations that are driving the next wave of continuous improvement. Gartner estimates that the adoption of SEI platforms will increase to 50% of engineering teams by 2027 – whether you're a VP, manager, or developer, find out why adopting an SEI Platform is crucial to your future success. Episode Highlights: 2:39 Digging into the data to find optimizations 4:02 What is Software Engineering Intelligence (SEI)? 9:08 What is profitable engineering and why should it be top of mind? 14:56 How can SEI help a VPE or CTO? 20:43 How does SEI relate to value stream management? 25:05 The role of automation in continuous improvement 29:36 How do SEI platforms help improve GenAI code orchestration? 31:45 What makes a great SEI platform? 34:19 What's next for SEI? Show Notes: Moneyball (2011) directed by Bennett Miller • Reviews, film + cast • Letterboxd Download your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) Platforms Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Data Science & AI: Getting Buy-In and Demonstrating ROI | PagerDuty’s Sanghamitra Goswami 23:28

44 weeksที่แล้ว23:28

23:28

In this episode of Dev Interrupted, Conor Bronsdon is joined by Sanghamitra Goswami, Senior Director of Data Science and Machine Learning at PagerDuty. Sanghamitra shares her expertise in AI and data science, including how engineering teams can effectively leverage both within their organizations. She also explores the history and significance of LLMs, strategies for measuring success and ROI, and the importance of foundational data work. The conversation ends with a discussion about practical applications of AI at PagerDuty, including features designed to reduce noise and improve incident resolution. Episode Highlights: 00:56 Why are LLMs important for engineering teams to understand? 03:17 How should engineering leaders think about using AI in their products? 07:57 What sort of plan should engineering leaders have to get buy in for AI? 13:22 Are there ways to show ROI on an investment in AI? 15:08 How should we communicate with customers about AI in our products? 18:53 How can companies find a good use case for AI in their product? Show Notes: LinkedIn PagerDuty Software Engineering Intelligence: Exposed & In Action Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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The Power of Micro Frontends & Breaking Down Monoliths | Thayse Onofrio 24:19

46 weeksที่แล้ว24:19

24:19

This week, guest host Ben Lloyd Pearson chats with Thayse Onofrio, Software Engineer at Clutch and ex Thoughtworks. Thayse discusses how micro frontends allow individual application components to be operated and deployed independently, helping teams avoid the complexities of a monolithic architecture. They cover the technicalities, challenges, and advantages of implementing micro frontends, including the importance of module federation and proper coordination among developer teams. Learn about the future of frontend development, the cultural impacts, and the best practices from Thayse’s experience. Episode highlights: 01:02 What is a micro frontend? 04:08 Building from scratch vs. out-of-the-box solutions 10:30 What’s the process for moving to a more micro frontend based approach? 15:46 What changes do you need to use a micro frontend framework? 17:28 What does a team using micro frontends benefit from once it's all set up? Show Notes: Thayse Onofrio | Twitter Thayse Onofrio | Substack Thayse Onofrio | LinkedIn Thayse Onofrio | LeadDev Software Engineering Intelligence: Exposed & In Action Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Deliver Better Results: How to Unlock Your Organization's Potential | Gil Broza 46:12

47 weeksที่แล้ว46:12

46:12

Dan Lines is joined by Gil Broza, author of 'Deliver Better Results,' to discuss how you and your organization can achieve better results by focusing on processes. Gil shares his 20-year journey in the Agile field, focusing on product development, system thinking, prioritizing people, and mindful mindset adjustments. The conversation covers the book’s target audience, the concept of the value delivery systems, and the roadmap for holistic improvement beyond traditional Agile methodologies. Gil also highlights common pitfalls leaders encounter, such as treating people as resources and the importance of a unified organizational mindset. As a thank you to our listeners, we’re giving away the first chapter of ‘Deliver Better Results’ for free, check it out here . Episode Highlights: 00:58 What led Gil to write ‘Deliver Better Results’, and who should be reading it? 06:20 Is there a certain size of team that would benefit from this book? 12:08 How can leaders identify the current state of their team? 17:01 How can engineering and product work better together? 20:49 What do leaders get wrong about people? 34:14 How can managers avoid finding someone to blame? 40:10 How can you avoid falling back to old habits after you make changes? Show Notes: Gil Broza on LinkedIn Gil Broza (@gilbroza) / X Deliver Better Results: How to Unlock Your Organization’s Potential Download the first chapter of ‘Deliver Better Results’ for free here Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

Dev Interrupted

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How to Increase Adoption of Internal Developer Tooling | Bloomberg’s Luis Vega 38:35

48 weeksที่แล้ว38:35

38:35

This week, guest host Ben Lloyd Pearson sits down with Bloomberg’s Engineering Manager Luis Vega. Luis discusses the initial challenges of enhancing developer engagement with internal tooling. He outlines his approach to building internal applications that are as intuitive and engaging as Bloomberg's client-facing solutions, and how applying UX design principles and branding for tools dramatically increased adoption. Vega also reflects on transitioning from a hands-on developer to a managerial role, emphasizing the importance of understanding team dynamics and fostering a culture of support and innovation within Bloomberg. Episode Highlights: 01:14 What is Bloomberg? 02:52 How do you get developers to embrace internal tooling? 06:58 Giving applications mascots 12:28 Helping developers be more productive with internal tooling 18:31 What was the biggest challenge to tackle when developing internal tooling? 25:41 Luis' journey into development 32:07 What's next for Bloomberg's internal tools? Show Notes: How to Drive Developer Productivity and Profitability with SEI Bloomberg Luis Alejandro Vega on LinkedIn Luis Alejandro Vega (@luisalejovega) / X AleAlejandro on YouTube Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Labs: Setting Engineering Goals and Reporting to Stakeholders 38:00

49 weeksที่แล้ว38:00

38:00

In our first Labs episode of the year, LinearB COO and Co-founder Dan Lines is joined by CTO Yishai Beeri to explore how elite engineering organizations set and report on their engineering goals. Modern engineering leaders face a dual mandate of achieving operational excellence while aligning their work with business priorities. To achieve this, you need to deliver software predictably—projects need to be delivered on time, within scope, and as promised so the rest of the business can drive ROI. Dan and Yishai highlight goal-setting methodologies to achieve predictable delivery and key metrics to focus on, ranging from planning accuracy and capacity accuracy to cycle time. Along with goal setting, we cover how to effectively report on your goals and progress to business stakeholders. Plus, you can download LinearB’s CTO Board Deck Template to leverage in your next board meeting. Episode Highlights: 01:24 Key terms to know when setting goals 02:17 Engineering leaders’ dual mandate: operational excellence and business alignment 08:18 How can engineering leaders set goals to achieve both sides of this mandate? 11:37 Why engineering organizations need to deliver predictably 19:37 How to set goals around resource allocation 27:30 Reporting on your goals to business stakeholders 32:56 The LinearB CTO Board Deck Template Show Notes: Gartner SEI Platform Market Guide CTO Board Slides Engineering Leader Guide to Goals and Reporting LinkedIn: Yishai Beeri Twitter: Yishai Beeri Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Why You Need to Take Risks as an Engineering Leader | GitHub’s VPE Neha Batra 43:32

51 weeksที่แล้ว43:32

43:32

This week, I sat down with Neha Batra, VP of Engineering for Core Productivity at GitHub. Our conversation is about the value of taking calculated risks in engineering leadership, using a “risk budget," and how you can leverage your social capital to take risks that help your career. Neha also shares her insights on senior engineering leaders' challenges when aligning business needs with talent and product execution. She discusses her framework for strengthening company alignment and engineering efficiency using established communication paths. Episode Highlights : 00:26 Frameworks that strengthen company alignment 03:11 How should you channel frustration into creation? 05:58 Conceptualizing your risk budget 12:53 Strategies for building communication pathways 16:04 Conducting AMA's with your team 21:47 How do you get team members to take accountability? 25:27 How do you gather signals from your team? 29:13 Mistakes leaders make you can learn from 36:32 Building curiosity into mundane experiences like dating Show Notes: Starting Your Engineering Metrics Program nerdneha (Neha Batra) · GitHub Neha Batra Neha (@nerdneha) / X GitHub: Let’s build from here · GitHub Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever…

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Try Not to Laugh Challenge, Easter Joke Book for Kids: Easter Basket Stuffer for Boys, Girls, Teens & Adults, Fun Easter Activity Book with Cute ... Easter Activities for the Whole Family!

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Will AI Finally Make TDD Practical? | Diffblue’s Animesh Mishra