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The more agents you run, the more dangerous pasted keys get. One vault (Infisical), agents fetch at runtime via get_secret, never hold a raw key — so a key can't leak into a transcript or a synced Drive folder.

Naming is permission. ROS_/GOP_/RRYSSF_ prefixes mean an agent knows what it's allowed to touch. Security that scales with the fleet, not against it.

One rotate, revoke-all. Centralizing isn't just tidy — it's the only way rotation stays sane across dozens of agents.

Without durable memory, every session re-learns from zero. Per-agent brains (the key is the identity, auto-scoped) fix that.

Wired ≠ used. The hard part isn't installing memory — it's making "read on start, write on ship" a reflex, not a choice. Most agent memory fails here.

You were watching the wrong surface. CCD's chat UI doesn't hot-reload the transcript file, so dispatched work never appears there. The console (which polls the file) is the real mirror. This single insight explains why Telegram "wasn't mirroring."

Don't dispatch into a session you're sitting in. claude --resume racing a live UI corrupts the session — fork or queue instead.

One session, one project. Project literacy keeps a session's context clean; sprawl is what makes agents dumb.

Session ≠ Agent ≠ Workflow. Persistent (you sit in it) vs ephemeral worker (one task) vs code that orchestrates agents. Conflating them is the #1 mistake — parallel work is a workflow spawning agents, not "more sessions."

Parallel building needs isolation, not coordination meetings. Git worktrees stop file/index/port collisions; section ownership stops semantic ones; shared files are single-writer; integration is sequential and gated.

Your real landmine was Google Drive, not git. A repo + node_modules syncing in Drive while agents write concurrently = corruption. Active work belongs on local disk.

Too many tools makes an agent dumber. Namespacing MCPs (/mcp/, /figma/, /brd/…) and lazy-loading skills (74 of them cost zero context until triggered) is how you scale capability without drowning the model.

A system that can act but can't judge can't improve. A loop without a verifier just drifts or reward-hacks — that's "self-changing," not "self-improving."

Two models disagreeing beats one model trusted. Cross-model verification (Codex auditing Claude) catches what either misses. Only what survives the disagreement ships.

The loop is 20 lines; the fitness function is the work. Execute → verify(score) → learn → plan, keep only what scores higher. That scorer is the thing you build carefully.

Frozen model, evolving harness. Real self-improvement edits the skills/prompts/tools from failure evidence — not the model.

A loop that dies when your Mac sleeps isn't autonomous. The bridge/tunnel dying is the recurring truth. Decouple: cloud holds the queue, the Mac is a wakeable worker — and you only wake it to run, never just to look.

Ship the frontier, not a finished product. The honest "here's what runs, here's the edge I'm building" is more impressive than "it's all done" — and it's literally your "never-ending, self-improving" thesis made true.