The dirty secret of shipping with AI coding agents: every PR is locally optimal and globally chaotic.
A function moves. A pattern gets reinvented two directories over. A decision someone made six weeks ago in Slack quietly stops being load-bearing — until it isn't, and you can't tell why the thing breaks.
This is architectural drift. It compounds. The larger the team or the longer the project, the more it costs.
I'm building Mneme HQ to do one thing well: capture and enforce the architectural decisions that make a codebase coherent, so AI agents (and humans) stay inside the lines that actually matter.
Three observations from the work so far:
1. Decisions decay faster than code
The reasoning behind a pattern is the first thing to evaporate. Without it, agents (and reviewers) can't tell a deliberate exception from a mistake. Code without decision lineage is a maze with no map.
2. "Just add it to CLAUDE.md" doesn't scale
A single rules file becomes a graveyard of contradictions. You need structure: scoped rules, traceable origins, decision lineage. Otherwise every new rule competes with three older ones nobody remembers writing.
3. The unit of governance is the decision, not the rule
Rules are downstream. If you can't reconstruct why, you can't reapply the rule correctly when the situation rhymes but doesn't match. Agents need access to the reasoning, not just the conclusion.
If you're working on engineering workflows for coding agents — particularly preventing architectural drift and decision loss — I'd love to compare notes. Reach out at hi@mnemehq.com.
— Theo, building Mneme HQ. Architectural governance for AI-assisted development.
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