Dev Interrupted

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
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.

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.

Your data warehouse still thinks a human is on the other end of the query. That's a problem MotherDuck CEO and co-founder Jordan Tigani knows from the inside, having spent years as a founding engineer on Google BigQuery. This week on Dev Interrupted, he joins Andrew to make the case that one warehouse per agent beats the distributed systems he used to work on. He lays out Watertown, his riff on Steve Yegge's Gastown that recasts the data engineer as the manager of a fleet of agents, and walks through how MotherDuck's Flights, Dives, and just-launched Guides keep pipelines, visualizations, and business context as code reviewed in GitHub. 
Get the guide: Your software factory needs a context layer
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MotherDuck: The DuckDB-powered data warehouse built for small data and agents at motherduck.com
Water-Town: Read Jordan's take on the agent swarm data stack, his riff on Gastown, at motherduck.com/blog
Flights: Learn how MotherDuck turns data ingest into scheduled Python scripts your agents can write at motherduck.com/blog
Dives: See how MotherDuck replaced its BI tool with LLM-written TypeScript visualizations at motherduck.com/blog
Guides: Read the docs on MotherDuck's new Markdown context layer for agents at motherduck.com/docs
MotherDuck Blog: Keep up with all things MotherDuck at motherduck.com/blog
MotherDuck Community: Join the community Slack at community.motherduck.com
Connect with Jordan: LinkedIn | X

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.

This week on the Friday Deploy, Andrew is joined by Dev Interrupted's producer Adam Noble to size up OpenAI's declaration that the AGI era has arrived, the Navier-Stokes race that has the math world crying foul, and why Meta is ditching its own messaging stack for Slack. They also dissect the bizarre saga of OpenAI's sandboxed agents leaving whispered notes for their future selves, and the "super dark factory." Finally, they celebrate Kiro Pro going free for over a million college students and tease a terminal-first upcoming news segment. 
Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026
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Follow today's stories:
The Era of AGI
A Bad Day For Humans, a Worse Day For Humanity
Meta is switching to Slack because it says it's better for AI agents
Agency and Agents
The Superdark Factory
Spec-Driven Development for Agentic Software Engineering: Harnessing Human-Agent Teamwork
Inside Dev Interrupted’s agentic newsroom and what it reveals about the future of tech media
Kiro Pro for students: kiro.dev/students 
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.