Show notes
What happens when coding agents see your entire system: code, services, infrastructure and live traffic, all connected? Most agents are blind to everything outside the repo. Adyen Staff Engineer Mat Jones explains what changed once theirs weren't, and why he calls it somewhat scary.In this video, we cover:Running five or six coding agents in parallel with git worktrees and Atrium, an internal tool that lets agents coordinate and share memoryArchitect: nine connected graphs in Neo4j covering services, code, DNS, data stores and infrastructureIngesting 7 million trace spans a second with Kafka and Apache Flink, and what collapsed on the first trySentinel: anti-pattern monitoring, with agents that raise the fix as a merge requestMCP vs APIs vs CLI tools, and how to deal with tool bloatThis episode is for software engineers and platform teams who want coding agents to reason about real systems, not just the repo in front of them. You'll leave with a concrete place to start and an honest view of the risks.00:00:00 - Intro00:00:42 - Running Five Coding Agents in Parallel00:01:35 - Atrium: How Agents Avoid Stepping on Each Other00:06:57 - Why Graphs Save Coding Agents Tokens00:12:25 - What Is Architect? Nine Graphs in One Database00:16:54 - What Broke at 7 Million Spans a Second00:20:37 - The Timeline From Proof of Concept to Production00:27:59 - Tracing Code Changes to Critical Payment Flows00:30:26 - How to Start: Build Scrappy, Then Earn Buy-In00:35:07 - Making a Codebase Agent Friendly With Skills and Hooks00:42:07 - Why You Should Start With a Service Graph00:44:46 - The Downside of Everyone Seeing Everything00:48:34 - Sentinel: Agents That Find and Fix Anti-Patterns00:53:01 - Are We Going Too Fast With AI?01:01:55 - Two Engineers, Four Months: Why Big Bets Got Cheaper01:07:11 - MCP vs CLI Tools and the Tool Bloat ProblemGuest: Mat Jones, Staff Engineer at Adyenhttps://www.linkedin.com/in/mathewwjones#codingagents #softwareengineering #platformengineering
