What the team built in a day when Claude Code, the MCP protocol, and a real customer AWS environment came together. Shipped a working bridge. Shipped it with guardrails. Here's the architecture and the three things that almost broke it.
Read the post →Serverless architecture, cost controls, and why the Lambda-first pattern holds up at scale.
A practical walk-through of HMAC signature verification for high-volume webhook ingest pipelines.
Cost anomalies, privacy slip-ups, hallucinations in the wild. Three patterns from managed AI workloads.
How a scalable AI backbone in AWS cut training costs and unlocked new product features.
Porting the Slack-native base2bot to Teams. The parts that ported cleanly and the parts that didn't.
Engineering leaders from three regulated SaaS companies on what actually ships.
Idempotency, back-pressure, and retry semantics when devices are flaky. A pattern we ship often.
We find these in almost every environment. Three monitoring gaps that produce silent failures.
Live session with our engineers walking through a real customer rollout of the AI Factory.
Line-by-line tour of our default CI/CD template, plus the three tweaks we make for financial services.
Patterns we see again and again. The five things most AWS environments get wrong that cost them money.