Posted inAI
Cursor Rules for TypeScript Monorepos: Make AI Edits Stick
AI edits drift without repo-local rules. Cursor rules for TypeScript monorepos encode boundaries and test gates so agent changes stick.
CheatCoders
Node.js Event Loop Lag: Catch p99 Stalls Before Users Feel Them
Event loop lag is the silent p99 killer in Node.js. Measure delay histograms, kill sync CPU on the main thread, and catch stalls before users feel them.
Posted inAWS
Lambda Powertools for Node: Structured Logs That Survive On-Call
JSON logs without correlation ids are noise. Lambda Powertools for Node wires structured logs, metrics, and traces that survive on-call.
Posted inAWS
Lambda Timeouts, Retries, and DLQs: Idempotent Failure Handling
Timeouts without idempotency create duplicate charges. Set deadlines deliberately, make retries safe, and land failures in DLQs you actually replay.
Posted inAWS
Lambda Cold Starts on Node 20: Measure, Cut, and Keep Cutting
Cold starts on Lambda Node 20 are measurable. Instrument Init Duration, trim deps, right-size memory, and keep p99 Init under your UX budget.
Posted inAI AWS Machine Learning
AI Code Review Bots: IAM, Secrets, and Least-Privilege Pipelines
AI code review bots fail security reviews when they hold monorepo admin PATs and unrestricted Bedrock access. Build least-privilege pipelines: GitHub App tokens, scoped IAM, Secrets Manager, and ephemeral jobs that can read a PR diff — nothing else.
Posted inAI AWS Machine Learning
Bedrock Prompt Caching and Batch Inference: Cut Latency and Cost
Bedrock bills you twice for the same system prompt unless you cache it — and charges full freight for offline jobs unless you batch. Use prompt caching for hot interactive prefixes and Batch Inference for deferred work; never confuse the two.
Posted inAI AWS Machine Learning
RAG on AWS: OpenSearch vs Aurora pgvector for Codebase Chat
Codebase chat RAG fails when you pick a vector store for demos, not query shape. Compare OpenSearch k-NN vs Aurora PostgreSQL pgvector on latency, filters, hybrid search, and ops — then pick for your retrieval SLOs and team skills.
Posted inAI AWS Machine Learning
LLM Coding Agents on AWS: Safe Tool Sandboxes with Lambda
LLM coding agents need real tools — shell, git, tests — without owning your account. Isolate each tool hop in a short-lived Lambda sandbox with IAM fences, network deny-by-default, and hard time/CPU budgets so agent autonomy stays recoverable.
Posted inAI AWS Machine Learning
Amazon Bedrock Agents: Tool Use, Memory, and Production Guardrails
Bedrock Agents fail in production when tools are over-privileged, memory is unbounded, and guardrails are bolted on late. Wire action groups, session memory, and Guardrails at the agent boundary — then measure p99 and tool-error rates before you ship.
