Tutorials, stack comparisons, tool reviews, and productivity tips — code that ships.
The "logs, metrics, traces" framework gets repeated everywhere and obscures what observability is actually about: asking new questions of your system. Here is the alternative framing, high-cardinality events, and the practical setup that gets you the actual capability.
Most teams pick a JavaScript package manager based on what was popular when the project started. Five years later they're paying for that decision in install time and disk usage. Here is the honest comparison: pnpm's strict mode, yarn 4's feature parity, npm's recent improvements, and Bun's speed.
JSONB without an index is a sequential scan in disguise. GIN indexes are powerful but big; expression indexes are precise but single-purpose. Here is the decision framework, the four query patterns and which index each needs, and the production-grade configuration.
Most teams have unstated review standards that two senior engineers disagree about. The result: long inconsistent reviews, slow PRs, and frustrated authors. A short, written, agreed-upon checklist solves it. Here is one that works, and the meta-rule that keeps it from becoming another bureaucratic process.
A new service requires database, queue, secrets, alerts, IAM roles, monitoring. Without modules, every team copies a previous service's Terraform and modifies. With well-designed modules, "new service" is 10 lines of HCL. Here is the module design that scales, the testing approach, and the four traps.
gRPC is faster, smaller, strongly typed, and has worse browser support and harder debugging. The decision is workload-specific. Here is the honest comparison: where gRPC genuinely wins, where REST stays the right choice, and the connect-rpc middle ground that resolves most of the trade-offs.
Most teams reach for Postgres because "SQLite is for embedded use." That assumption is years out of date. SQLite with WAL mode and Litestream replication runs real production workloads at 50,000 writes per second. Here is when it's the right tool, the patterns that work, and the limits to know.
Most React apps still spell out `if (loading) … if (error) … if (data)` in every component. Suspense + an error boundary collapses all three into the JSX tree above. Here is the working pattern with React Query / SWR, the streaming SSR story, and the trap that makes Suspense look slow.
Most teams ship features as “merge to main and deploy.” The result is that a bug affects 100% of users immediately. Five-stage rollouts (internal, 1%, 10%, 50%, 100%) turn “oh no” into “catch it at 1%.” Here is the working pattern, the metrics that gate each stage, and the rollback procedure.
A naive monorepo CI runs all jobs on every PR, takes 25 minutes, and burns money. The version that works has path-filtered jobs, cross-job caching, and reusable workflows. Here is the working setup that runs in 4 minutes for a typical PR.