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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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Saknas det avsnitt?
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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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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.
OpenAI Acquires RocksetDownload your copy of the Essential Guide to Software Engineering Intelligence Platforms
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?
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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 AIShow Notes
Download your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) PlatformsJohnny Ray AustinPersonal Loans | Quick & Easy Application | Best EggSupport the show:
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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 • LetterboxdDownload your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) PlatformsSupport the show:
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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.
LinkedInPagerDutySoftware Engineering Intelligence: Exposed & In Action
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?
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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.
Thayse Onofrio | TwitterThayse Onofrio | SubstackThayse Onofrio | LinkedInThayse Onofrio | LeadDevSoftware Engineering Intelligence: Exposed & In Action
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?
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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.
Gil Broza on LinkedInGil Broza (@gilbroza) / XDeliver Better Results: How to Unlock Your Organization’s PotentialDownload the first chapter of ‘Deliver Better Results’ for free 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?
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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.
How to Drive Developer Productivity and Profitability with SEI BloombergLuis Alejandro Vega on LinkedInLuis Alejandro Vega (@luisalejovega) / XAleAlejandro on YouTube
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?
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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.
Gartner SEI Platform Market GuideCTO Board SlidesEngineering Leader Guide to Goals and ReportingLinkedIn: Yishai BeeriTwitter: Yishai Beeri
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
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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:
Starting Your Engineering Metrics Program nerdneha (Neha Batra) · GitHubNeha BatraNeha (@nerdneha) / XGitHub: Let’s build from here · GitHub
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
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In the last few years, disengagement at work has become a massive issue. We learned from Dr. Andre Martin’s episode that 53% of managers are burnt out and 1 in 3 employees leave their jobs in the first 90 days.
This week, we sat down with Chuck Lafferty, VP of CRM at ADP, to discuss ADP’s approach to employee engagement and innovation. Chuck dives into building trust within teams, innovative techniques like ‘Survey Roulette’ to incorporate user feedback into development, and the critical role of understanding and caring for individuals.
When employees feel valued, heard, and engaged in meaningful work, you see improved productivity and increased job satisfaction. The episode concludes with actionable steps to improve employee engagement through personalized interactions and empathetic leadership.
Episode Highlights:
01:51 How does Chuck define employee engagement?04:06 Can you measure employee engagement?12:05 How can managers engage individual developers?17:16 Survey Roulette and how it helps engage engineering teams.22:31 Winning in the workplace 23:45 The importance of separating the problem from the person25:30 How can you improve employee engagement?Show Notes:
Starting Your Engineering Metrics Program Workshop Chuck LaffertyPayroll, HR and Tax Services | ADP Official SiteConfident CoderChuckLafferty (@ChuckLafferty) / XSupport the show:
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This week, our host Dan Lines sits down with Tara Hernandez, VP of Developer Productivity at MongoDB. Together, they explore the nuances of developer productivity and the impact of AI in engineering environments.
Tara emphasizes that achieving developer productivity requires a focus on outcomes, reduced noise for developers, and a healthy balance between technology, processes, and communication. She also touches on the strategic framework of the 'three horizons' for conceptualizing your investment breakdown across different projects and how to maintain focused on meaningful development work.
Starting Your Engineering Metrics Program Workshop Tara HernandezMongoDBGitHubCloudBeesCircleCIAtlassianEvergreen CI in GitHub
Episode Highlights:
01:43 How should you think about developer productivity?
09:09 Three pillars to improve developer productivity
16:07 Automated does not equal autonomous
24:46 Making the golden path the easy path for developers
27:51 What’s exciting in developer productivity and AI?
29:57 The three horizons
38:34 Developer performance vs productivity data
40:23 What is the right way to think about goal setting for noise reduction?
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