MCP Is the Pipe, Not the Permission Boundary
A secure internal MCP pipeline assumes clients, prompts, and credentials can be compromised—and makes every unauthorized action fail predictably.
210 articles on AI, automation, and building useful software.
A secure internal MCP pipeline assumes clients, prompts, and credentials can be compromised—and makes every unauthorized action fail predictably.
Most small teams fail at AI infrastructure not because of prompts, but because of operational chaos. Vercel AI Gateway solves the key management and...
Next.js 16.2 shifts debugging to terminal-based, structured diagnostics for AI agents, unifying server and client logs while introducing critical instrumentation changes.
Cloudflare Agents SDK v0.12.4 bridges the gap between fragile demos and production-ready AI agents with durable state management and automatic retries.
Stop using regex for LLM outputs. Learn how to build reliable pipelines with schemas, validation, and repair loops.
A practical production checklist for small teams to run Docker Compose reliably without the overhead of Kubernetes.
Vendor uptime isn't data safety. Tiny SaaS founders must prioritize restore drills and the 3-2-1 rule to survive catastrophic data loss.
Align your AI backend with workload constraints to avoid timeouts, runaway costs, and technical debt.
Edge runtimes break AI apps through hard limits and silent hangs. We learned the hard way how to design resilient workflows that respect infrastructure...
Cron delivery is best-effort. If you don't design for duplicates and partial failures, you're gambling with data integrity. Here is the practical
Most post-incident reviews fail because they are treated as administrative theater. For small teams, the cost of ambiguity is too high. Here is how
Provisioning dedicated GPU clusters is a trap for bursty AI agents. I stopped provisioning dedicated clusters and switched to serverless inference. Here is the...