Dev Interrupted
Software itself is fundamentally changing. We explore the transition to agentic orchestration, vibe coding, and AI-native development, grounding the conversation in the principles that have always defined great engineering.
On Tuesdays, we interview the founders, architects, and builders of the world’s most impactful tech to uncover the timeless engineering principles and strategies shaping the next era of development.
And on Fridays, we drop an end-of-week roundup of the biggest news in AI and software, and what it actually means for your career, your craft, and your life as a developer.
Subscribe to stay ahead of the next era of code.
Dev Interrupted
Outcome engineering, AI hit pieces, and the end of the backlog
•
LinearB
•
Season 6
•
Episode 13
Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.
Is the traditional engineering backlog officially a thing of the past? Andrew and Ben explore the principles of outcome engineering and how continuous productivity is permanently changing how software gets built. They also examine a busy week of industry news, from Peter Steinberger joining OpenAI to the amusing and bewildering story of a hit piece written by an autonomous AI agent. Finally, the hosts break down the existential crises of Gemini 3 Pro inside a virtual village and why Meta product managers are rebranding themselves as AI builders.
Follow the show:
- Subscribe to our Substack
- Follow us on LinkedIn
- Subscribe to our YouTube Channel
- Leave us a Review
Follow the hosts:
Follow today's stories:
- OpenAI's acquisition of OpenClaw signals the beginning of the end of the ChatGPT era
- An AI Agent Published a Hit Piece on Me
- Outcome Engineering
- The Drama and Dysfunction of Gemini 2.5 and 3 Pro
- Several Meta employees have started calling themselves 'AI builders'
OFFERS
- Start Free Trial: Get started with LinearB's AI productivity platform for free.
- Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
- AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
- AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
- AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
- MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.