Rey Benjamin Baquirin
AI Systems Architect

Before

An AI host working across dozens of projects and agents had no structured way to query 'which plans are in flight' or 'which repos are dirty' without a manual grep. The ASGI bearer middleware also needed to avoid Starlette's BaseHTTPMiddleware, which breaks streamed responses and swallows lifespan events.

Before

Records stalled silently in the queue after a failed waterfall lookup. The cooldown timestamp cleared but the stage never reset, so the pickup filter never found them again. Ghost slots held a slot forever while throughput collapsed.

Before

Starlette's BaseHTTPMiddleware runs on HTTP scopes only. A WebSocket upgrade arrives as scope type 'websocket' and middleware never fires. Junior implementations leave every WebSocket endpoint publicly accessible. A second race condition: the background agent loop can finish before the WebSocket client connects, leaving a queue entry that a naive pop would destroy.

Before

The source system polled once daily and retried 404 custom-field lookups five times with geometric backoff: 75 seconds per miss. Pagination silently lost partial results on rate-limit hits. Detection latency was up to 24 hours. Each event cost roughly 7 vendor calls.

Before

A challenge constraint ruled out pandas, Jinja2, and every charting library. The output had to work completely offline after generation. That combination rules out the standard toolkit and requires falling back to Python fundamentals while still handling edge cases without crashing.