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2025 will test every assumption about how engineering teams work.
Join us at Dev Interrupted Live!2025 Engineering Benchmarks Insights WebinarFollow OriFollow BenFollow Andrew
With the new year fast approaching Ori Keren, CEO of LinearB, has some bold predictions that might surprise you, like why developer productivity could actually go down in 2025.
Yep, you read that right.
As AI tools flood the market, we might see a dip in both productivity and creativity before the long-term benefits kick in. It’s a wake-up call for engineering leaders to rethink how they lead their teams.
Ori dives into the trends that’ll dominate:
- AI’s rise
- The ever-growing need for cybersecurity
- Why DevEx and developer productivity are heading for a showdown
His advice? Stop flying blind. “You can’t optimize what you don’t measure,” he says.
If you’re leading an engineering org, this episode is your 2025 game plan: a mix of data-driven decision-making and people-first strategies to stay ahead in a year of change. Don’t miss this insightful fusion of qual and quant.
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What’s the secret to building better products? Letting engineers drive the vision.
2025 Engineering Benchmarks Insights WebinarRead The secret to better products? Let engineers drive visionFollow Sift Stack on LinkedIn
This week, host Ben Lloyd Pearson interviews Austin Spiegel, co-founder and CTO of Sift Stack, who previously spent years leading engineering teams at SpaceX. Austin reveals how SpaceX's unique engineering culture, which eliminated the product management layer, influenced his approach to building Sift Stack, including the implementation of a forward-deployed engineering team.
Learn how this approach leads to faster development cycles, happier customers, and more innovative products.
Austin also argues that we're entering a new era where the most valuable engineers aren't just skilled coders, but also savvy business thinkers. He believes that as software development becomes easier due to the proliferation of AI, engineers who can connect their technical expertise with a deep understanding of customer needs and market trends will have a significant competitive advantage.
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Saknas det avsnitt?
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Most developers (ourselves included) want to run for the hills when they hear the words “engineering process.” But it turns out, the biggest danger to your team may not be having enough process.
You don’t have to take our word for it. This week’s guest made a believer out of us and we’re willing to bet she’ll make a believer out of you too.
Julianna Lamb, co-founder and CTO of Stytch, understands that engineering processes can be a sensitive subject for developers. But she argues that the right amount of process can actually boost your team's velocity and empower them to take ownership. Julianna shares insights on how to right-size processes for teams, implement effective project life cycles, and address friction points to ensure smooth workflows.Show Notes:
Refactoring x Dev Interrupted SurveyLearn more about StytchJulianna’s LinkedInJulianna’s TwitterSupport the show:
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This week, Dev Interrupted dives into the 2024 Stack Overflow Developer Survey, revealing a surprising statistic: only 1 in 5 developers are happy in their jobs.
2025 Engineering Benchmarks Insights WebinarRefactoring x Dev Interrupted Survey2024 Stack Overflow Developer SurveyCheck out Erin’s blog
Stack Overflow's Senior Analyst of Market Research and Insights, Erin Yepis, joins host Ben Lloyd Pearson to discuss the survey's findings and explore the reasons behind this widespread dissatisfaction. From salary woes and workplace settings to the ever-present burden of technical debt, they dissect the factors impacting developer happiness.
Later, Dan Lines offers his perspective, drawing on LinearB's data to pinpoint three key challenges to developer satisfaction. He also shares valuable strategies for tackling technical debt, a growing concern as more companies transform into software-driven businesses.
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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?
2025 Engineering Benchmarks Insights WebinarRefactoring x Dev Interrupted SurveyBirgitta’s LinkedInBirgitta’s websiteMartin Fowler Memos
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.
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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 WebinarRefactoring x Dev Interrupted SurveyScott’s LinkedInSupport the show:
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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 SurveyAshish’s LinkedIn2024 State of SaaS Consolidation ReportSupport the show:
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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 202420:10 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 experience39:13 Are internal developer platforms a fad?Show Notes:
Refactoring x Dev Interrupted SurveyCory O'DanielMassdriver - Standardize Infrastructure | Enhance Developer Experience | Enable Self-ServiceCory O’Daniel k8s/acc (@coryodaniel) / XDevOps is BullshitBridging Cloud Talent GapSupport the show:
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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.
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?
Topics:Links:
Dheeraj PandeyDheeraj PandeyDheeraj Pandey (@dheeraj) / XDevRev (@devrev)Dheeraj PandeyDownload the Engineering Leader’s Guide to Accelerating Developer ProductivityUnified SupportOpening WindowsFounder ModeOvercoming Growth CrisesZanzibar: Google’s Consistent, Global Authorization SystemSupport the show:
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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.
02:01 Why is observability often treated as an auxiliary service?06:14 Making a push for observability13:32 Picking the right metrics to observe and pay attention to15:49 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?
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:Links:
Daniela MiaoThe Momento BlogMomento: An enterprise-ready serverless platform for caching and pub/subUnpacking the 2023 DORA Report w/ Nathen Harvey of Google CloudGoogle SRERust Programming LanguageSupport the show:
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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 AI13:30 All about AI SDKs20:41 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 leadersLinks:
Malte Ubl (@cramforce)About Malte UblMalte Ublv0 by VercelVercel: Build and deploy the best web experiences with the Frontend CloudDownload the Engineering Leader’s Guide to Accelerating Developer ProductivitySupport the show:
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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
00:31 Specialized models vs. LLMs01:56 The problems with LLMs and data integrity12:34 Why AGI is further away than we think16:11 Evaluating the right models for your engineering team23:42 Is AI code secure?26:22 How to adjust to work with AI effectively 32:48 Training developers in the new AI world
Topics:Links:
Brandon Jung on LinkedInBrandon Jung (@brandoncjung) / XTabnine (@tabnine) / XTabnine AI code assistant | Private, personalized, protectedManaging Bot-Generated PRs & Reducing Team Workload by 6%Support the show:
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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.
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
Chapters:Links:
Supercharge Your Operations with AI-Powered Agents | MemraAmir BehbehaniManaging Bot-Generated PRs & Reducing Team Workload by 6%Support the show:
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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.
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
Episode Highlights:Show Notes:
Aarathi on LinkedInClosing the Tech Talent GapManaging Bot-Generated PRs & Reducing Team Workload by 6%Support the show:
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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.
00:33 The ins and out of being a VP of Developer Relations and Community04:48 The Importance of wisdom and experience when applying Gen AI08:32 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 developers29:21 Where to start applying Gen AI for your team
Episode Highlights:Show Notes:
Peter McKee (@pmckee) / XPeter McKeeBetter Code & Better Software | Ultimate Security and Quality | SonarDownload The Engineering Leader’s Guide to Accelerating Developer ProductivitySupport the show:
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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.
00:50 What makes engineering and product roles at Shopify special?03:31 How Shopify onboards new hires to drive impact09:05 Pioneering developer experience at Shopify13:28 How Shopify defines success for their platform 17:50 Building high-context, empowered teams29:35 Leveraging AI and LLM’s as a growth opportunity35:29 Advice for product and engineering leaders thinking about their next career step
Episode Highlights:Show Notes:
Eytan Seidmanx.com/eytanseidmanShopifyShopify Developers Platform—Build. Innovate. Get paid.Download your copy of the 2024 Software Engineering Benchmarks Report hereSupport the show:
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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.
Robin YemanIndustrial DevOpsWiring the Winning Organization - IT RevolutionDownload your copy of the Gen AI Impact Report today
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
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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 growth7:30 Finding the right balance between practicality and innovation12:15 A startup within a startup mentality 18:40 Learning through experimentation23:55 Key considerations when navigating product market fit28:20 Driving growth in engineering teamsShow Notes:
Adam Berman on LinkedInAdam Berman (@adamberman_13) / XSemgrepDownload your copy of the Essential Guide to Software Engineering Intelligence PlatformsSupport the show:
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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.
Amanda Sopkin on LinkedInAmanda Sopkin on Twitter / XAmanda Sopkin’s websiteAmanda Sopkin on GitHubAsana Project Management Software
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
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“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.
Download your copy of the Essential Guide to Software Engineering Intelligencehttps://www.finops.org/https://www.linkedin.com/in/mark-robinson-944084b
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
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