Dev Interrupted

Agents made each engineer faster, but the handoffs between them still run through copy and paste. OpenClaw Foundation chief architect Vincent Koc ran into that friction on his own team, and their answer was to move the engineering work of building OpenClaw inside OpenClaw itself. This week on Dev Interrupted, he joins Andrew to walk through the multiplayer setup behind OpenClaw 2.0, where teammates and their agents can jump into each other’s sessions on shared servers and pick up work when someone goes to sleep. Vincent explains how tools like Git Crawl keep their agents aware of everything happening across the repo, and why the piece that’s still missing is the why behind a decision. 
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OpenClaw Foundation: openclaw.org The foundation behind OpenClaw, which Vincent serves as chief architect.
OpenClaw: openclaw.ai The open source personal AI assistant at the center of the conversation.
OpenClaw 2.0, Accidentally: openclaw.ai/blog/openclaw-2-accidentally The release post for OpenClaw 2.0 and its multiplayer features.
OpenClaw on GitHub: github.com/openclaw The org’s open source repos, all under MIT.
OpenClaw security: openclaw.ai/security The project’s security page, which Vincent points to for the full record of reported vulnerabilities.
Git Crawl: github.com/openclaw/gitcrawl The team’s GitHub issue and pull request crawler that keeps their agents aware of work across the repo.
Crabbox: github.com/openclaw/crabbox The testing infrastructure the team built when nothing out there fit.
Tideglass: github.com/vincentkoc/tideglass Vincent’s side project for inferring intent and preference profiles for agents.
Beads: github.com/steveyegge/beads Steve Yegge’s git-backed issue tracker for coding agents.
Wikinomics: dontapscott.com/books/wikinomics The book on mass collaboration that Vincent keeps coming back to.
Connect with Vincent: LinkedIn | X

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LinearB's software factory spends more time on the spec than on the code. VP of Engineering Ariel Illouz spent the last year moving his team of about 30 engineers from vibe coding to spec-driven development, starting with a single spec-writing skill and a rule that every story above three story points gets a spec. This week on Dev Interrupted, he and returning guest Ofer Affias, LinearB's senior director of product, join Andrew to walk through a project Ariel puts at six months without AI that shipped in roughly four weeks, at least two of them spent on specs. Ofer explains why proving the impact meant measuring AI adopters as separate cohorts. They close the conversation on where the software factory goes next, as agents take over more of the loops humans run today. 
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LinearB Metrics Builder: The custom metrics builder Ariel's team built spec-first, a project he puts at six months without AI. 
LinearB AI benchmarks: The AI engineering productivity gap: how elite teams pull ahead in 2026. 
Connect with Ariel: LinkedIn 
Connect with Ofer: LinkedIn
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.
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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.

MCP was already a hit before it had a neutral home. Then Manik Surtani helped launch the Agentic AI Foundation, and MCP's SDK downloads grew fivefold to over a billion. This week on Dev Interrupted, he joins Andrew to share why he expects the same kind of growth for A2A and the foundation's other newest projects, and why these protocols belong together in a neutral place. Manik also shares the unique reasons behind A2A’s rapid adoption in China’s mobile app ecosystem. They close the conversation on why open source projects like Goose now want your ideas instead of your pull requests, and the neverending roadshow making it all possible out in the community right now.
Save your seat: What your software factory is doing to your engineers
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Agentic AI Foundation (AAIF): The foundation's home for working groups, blogs, events and news https://aaif.io
The Daily Agentic AI Newsletter: The AAIF's news and views, published on LinkedIn.
A2A: The agent-to-agent protocol that grew out of Google and recently joined the AAIF https://a2a-protocol.org
A2A joins AAIF: The foundation's announcement
Model Context Protocol (MCP): One of the AAIF's founding projects https://modelcontextprotocol.io
goose: The open source agent Manik oversaw at Block, now an AAIF project https://block.github.io/goose
AGENTS.md: The AAIF's third founding project https://agents.md
agentgateway: An open gateway for agentic AI traffic, including token spend tracking https://agentgateway.dev
Agent Router: The related AAIF project Manik mentions alongside agentgateway https://theagentrouter.ai
AGNTCY: The Cisco-backed agent stack whose ACP spec gave way to A2A https://agntcy.org
Connect with Manik: LinkedIn | X
Manik's Substack: Manik's writing on open source and AI. https://maniksurtani.substack.com
OFFERS
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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.

You can't automate a planning process that only some of your teams follow. This week on Dev Interrupted, Newsela CTO Dee Wilcox joins Dan Lines, LinearB's COO and co-founder in our AI Enablement interview series. She shows how Newsela brought dev cycle time down from four days to closer to two, and why she treats code review time as a measure of how long engineers wait for feedback. They close the conversation on proving AI ROI to the board, where Dan makes the case for cost per effective PR, a metric that only counts the PRs that ship without causing incidents or needing rework. 
Save your seat: What your software factory is doing to your engineers
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Learn more about Newsela: https://newsela.com
Accelerate Everyone: Dee's Substack on engineering leadership https://accelerateeveryone.substack.com
Connect with Dee: LinkedIn
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.

Before anyone reimagines the software lifecycle for agents, someone has to secure the place all that code lands. Entire CEO Thomas Dohmke, formerly CEO of GitHub, and Apiiro co-founder and CEO Idan Plotnik see the same problem from opposite ends of the pipeline: agents now write, review, test and deploy the code, and nobody reads it.
This week on Dev Interrupted, they join Andrew to argue that the fix is context, injected before the prompt through hooks and captured afterward as session logs committed next to the code. Idan puts numbers on the perfect storm of agents shipping more code as Mythos scans surface 10x the vulnerabilities, while Thomas makes the case that code is the what and the session log is the why. They close the conversation on why every pull request needs a business owner, not just a code owner. 
Save your seat: Sustaining engineering health through your AI transformation
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Entire: https://entire.io/
Entire CLI (open source): https://github.com/entireio/cli
Apiiro: https://apiiro.com/
Apiiro Guardian Agent: https://apiiro.com/blog/introducing-apiiro-guardian-agent/
JPMorgan's Patchmageddon report: https://privatebank.jpmorgan.com/nam/en/insights/latest-and-featured/eotm/patchmageddon
Connect with Thomas: LinkedIn | Twitter/X
Connect with Idan: LinkedIn
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.