Blog
Build log, architecture patterns, and observations from running autonomous AI systems in production.
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The 32-Day Revolution
Thirty-two days, ten Discord bots, thirty-nine Python tools. Nobody planned this multi-agent architecture — every layer was forced by a specific bottleneck. The story of how the system you need at scale doesn't exist until you've earned it.
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The File Conflict Problem Nobody Warns You About in Multi-Agent Systems
When you run multiple AI agents in the same codebase, they will eventually clobber each other's work. Here's what we discovered and how we solved it with git worktrees.
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Making Tests Finish: CI Reliability in Agentic Systems
When the test suite stopped finishing — not flaking, hanging — CI became a broken feedback loop. A layered defense pattern for async, network, and distributed state in agentic systems.
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When External Integrations Collide with Test Suites
Wiring Jira into OpDek hung the test suite. Not a failure — a hang. Integrations are infrastructure stress tests in disguise. Here's what the cascade taught us about implicit assumptions.
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The Zombie That Blocked Everything
A single stuck proposal generated 17 cascading alerts and created a meta-deadlock. Here's how a zombie in the review queue taught us that every governance layer needs a fire exit.