Hangar DX Podcast

In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks to Wayne Duso, VP of Platform and Infrastructure at 1Password, about:
- How a security-first company approaches AI adoption without compromising on privacy and trust
- Why the bottleneck has shifted from writing code to planning, architecture, and verification and what that means for how engineers work
- How 1Password used agents to refactor a monolith in four hours after days of upfront spec work, and what that experiment revealed https://1password.com/blog/what-we-learned-using-ai-agents-to-refactor-a-monolith
00:00 Wayne Duso's Background and Role at 1Password
02:12 1Password's Engineering Structure and Focus
03:15 AI Adoption Journey at 1Password
07:53 AI Security Considerations for 1Password
09:49 Evolution of Engineering Workflows with AI
11:55 Shifting Bottlenecks in Software Development Life Cycle
13:23 Refactoring Monolith with Agents
18:08 AI as an Amplifier in Engineering Practices
19:09 Navigating the Tools: A Pragmatic Approach
22:03 Human Oversight in AI-Driven Development
25:54 Collaboration Between Humans and Agents
27:58 Managing Specifications for Evolving Systems
30:24 The Review Process: Balancing Speed and Quality
34:09 Adoption Rates and Developer Engagement
38:29 Evolving Metrics: Measuring Impact and Productivity
42:02 Future Initiatives: From JIRA to PR Automation
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Replace code reviews with verified intent
AI writes code faster than humans can review it. Aviator Verify provides compliance-grade verification through spec-driven development. Ship faster with complete audit trails. https://verify.aviator.co/

"Engineering teams need to be thinking about how they can get out of verifying every line of code, because otherwise they're going to be completely buried in that and will absolutely be the bottleneck."
In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks to Jade Rubick, engineering leadership advisor and coach, about: 
- Why traditional engineering roles are blurring and teams are feeling the squeeze between rising expectations and unchanged role definitions
- How the role of verification engineer could reshape the way teams build and ship software, and
- the 3 predictions for software engineering in 2027 that Jade is willing to be wrong about
00:00 Introduction and Jade's Background
02:44 Current Changes in Engineering Organization Structures
05:18 Blurring Roles and Responsibilities in Tech Teams
07:09 The Return of Coding for Engineering Leaders
10:00 Ownership and Role Evolution in AI-Driven Engineering
14:22 Automated Verification Engineers and Testing Pipelines
20:09 Reducing Verification Bottlenecks with AI
22:23 The Role and Responsibilities of Verification Engineers
25:52 Measuring Engineering Productivity in the AI Era
27:26 Predictions for AI and Engineering in 2027
30:33 The Impact of AI on Code Maintenance and Complexity
31:47 Final Thoughts and Future Outlook
📫 Sign up to our email list for more podcasts, articles, events, and other updates: https://www.aviator.co/podcast
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🙌 Join a curated community of senior engineers and engineering leaders focused on developer experience and solving productivity challenges at scale! Check out our upcoming off-the-record online sessions where vetted, experienced professionals can exchange ideas and share hard-earned wisdom: https://dx.community/
Replace code reviews with verified intent
AI writes code faster than humans can review it. Aviator Verify provides compliance-grade verification through spec-driven development. Ship faster with complete audit trails. https://verify.aviator.co/

"I define cognitive debt as being that understanding of what the system is doing and why, and who knows what across the team." 
In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks to Dr. Margaret-Anne Storey, Professor of Computer Science and Canada Research Chair, about
- Why AI is amplifying the problems of poor team understanding
- How cognitive debt and intent debt are the hidden risks of building fast with AI, and 
- Why slowing down might be the most important engineering practice in the age of agents.
00:00 Introduction to Developer Experience and Margaret's Background
02:11 Exploring the SPACE Framework vs. DORA
06:55 Subjectivity in Measuring Developer Productivity
12:15 Impact of AI on Developer Collaboration and Productivity
16:54 Understanding Cognitive and Intent Debt
22:42 Understanding Cognitive Debt in Software Development
26:36 The Impact of Intent Debt on Development
28:07 Measuring Cognitive and Intent Debt
32:20 The Role of AI in Amplifying Challenges
37:24 Balancing Speed and Understanding in Development
📫 Sign up to our email list for more podcasts, articles, events, and other updates: https://www.aviator.co/podcast
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🙌 Join a curated community of senior engineers and engineering leaders focused on developer experience and solving productivity challenges at scale! Check out our upcoming off-the-record online sessions where vetted, experienced professionals can exchange ideas and share hard-earned wisdom: https://dx.community/

"You assemble a senior engineer out of hundreds of these skills. Each one is a little building block. We take the time and sweat the details on making sure they are great and almost near perfect at what they do."
In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks to Brian Scanlan, Senior Principal Engineer at Intercom, about how Intercom set a goal of doubling engineering throughput with AI, why low-quality skills are worse than no skills at all, and how a platform team of eight is enabling 400 engineers to make all technical work agent-first.
00:00 Developer Experience and AI
03:01 Intercom's Engineering Team and AI Integration
05:49 Building a Skills Framework for Developer Productivity
08:55 Data-Driven Insights and Skill Improvement
12:05 Quality Control in Skills Development
14:40 Managing Context and Skill Overlap
18:00 Self-Improving Skills and Knowledge Systems
20:53 Ownership and Maintenance of Skills
23:43 Encouraging Adoption of AI Tools
26:52 Building Trust for Production Access
29:50 Business Continuity and Multi-Provider Strategies
Brian's blog post: https://ideas.fin.ai/p/how-we-use-claude-code-today-at-intercom
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"We can be in a flow state running in the wrong direction. Unless you can tie all your actions back to your strategic imperative, you might look back in five years and think: That was fun, but could I have gotten further?"
In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks to Steve Pereira, lead consultant at Visible Value Stream Consulting and co-founder of the Flow Collective, to discuss where AI is genuinely moving the needle versus just generating more code to review, how to think about context switching and flow state when AI makes task-switching cheaper than ever, and how teams can use value stream mapping as a framework for getting AI adoption right.
00:00 Introduction to Developer Experience and Value Stream Mapping
05:20 Understanding Value Stream Mapping in Practice
08:09 The Impact of AI on Value Stream Flow
17:06 Context Switching and Flow State in Software Development
27:48 Intentionality in Context Switching and Flow State
35:07 Value Stream Mapping as a Superpower for AI Success
📫 Sign up to our email list for more podcasts, articles, events, and other updates: https://www.aviator.co/podcast
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🙌 Join a curated community of senior engineers and engineering leaders focused on developer experience and solving productivity challenges at scale! Check out our upcoming off-the-record online sessions where vetted, experienced professionals can exchange ideas and share hard-earned wisdom: https://dx.community/