960 Commits Later: What This Architecture Actually Looks Like Today
A wrap-up of what building a real AI agent orchestration platform for three months actually produced, and what would change starting over.
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Get startedA wrap-up of what building a real AI agent orchestration platform for three months actually produced, and what would change starting over.
Sharing one engine between a technical audience and a business-facing audience is a clean idea that took three real rebuilds to get right.
A service consolidation surfaced a real key-isolation bug between tenants. Here is what the fix looked like and how to check your own system.
A feature was split into its own service, then folded back into the monolith days later, after surfacing a real bug along the way.
Bloom looks incredible in a screen recording. At real-world scale and frame rate, it stopped being worth it.
Going back to audit which paid features are actually gated, and finding the honest answer is 'not all of them.'
Treating security as a single pre-launch checklist misses most of what actually needs fixing. Real hardening happens in numbered, re-audited waves.
A tool built for one user on one machine has no isolation requirements. The moment a second tenant shares infrastructure, every assumption needs re-examination.
Building on one platform first is fine until you ship elsewhere and discover how many small platform-specific calls you made without noticing.
A scheduled AI audit found the same issue every run and created a new task for it every time, because nothing told it the task already existed.
Exposing a local process to the internet through a tunnel is a specific, well-understood security problem with a specific, well-understood fix.
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