Edgecase Engineering
Edgecase Engineering
Software architecture, AI systems, backend engineering, and real-world build notes.
Latest posts
Why AI Agents Fail in Production: State Drift, Not Prompt Drift
A practical state-convergence playbook for project-scoped agent systems
Security and UX Are Not Opposites. Badly Designed Security Is.
Security improvements that stick are the ones that reduce cognitive load for normal users while narrowing attack surface
You Will Have a Credential Leak. The Question Is Whether You're Ready.
Credential leak response must be pre-designed. Improvisation guarantees longer exposure windows.
Your Application Code Is Fine. Your Edge Is Not.
Why most production outages in small API platforms happen at the edge layer, not in business logic
Your Deployment Pipeline Is Clever. That's the Problem.
Reliable delivery pipelines optimize for repeatability and recoverability, not cleverness
You Can't Investigate What You Didn't Record
Audit and observability are data models first, dashboards second
MCP Is the New API Layer Nobody Is Designing Correctly
Why MCP servers should be thin, reliable protocol adapters - not application logic hosts
An SDK Is Not a Wrapper. It's a Promise.
SDK quality is contract fidelity plus ergonomic defaults - not HTTP calls with types
Your API Has No Contract. It Has Vibes.
Why contract discipline is the fastest path to scalable integrations and lower support overhead
pgvector Is Not a Shortcut. It's a Database Engineering Problem.
What it actually takes to run Postgres with pgvector reliably in production
You Are Storing the Same File Dozens of Times and Don't Know It
Content-addressable deduplication and integrity checks for API platforms using object storage
You Don't Need Distributed Rate Limiting. Yet.
Build simple, visible, enforceable limits before you build complex ones