Go trades some scripting flexibility for predictability: a static binary with no runtime to install, goroutines that make concurrency cheap instead of callback-heavy, and a GC tuned for low, consistent pause times. For high-throughput APIs, CLIs, and anything that needs to run the same way in every environment, that trade pays off fast.
We default to net/http plus chi for routing sugar — the standard library's HTTP server, context handling, and middleware pattern cover most needs without an opinionated framework on top. We reach for something heavier only when a project's surface area genuinely calls for it.
In-process goroutines with worker pools and errgroup for anything that lives and dies with a request. For durable, retryable background jobs — emails, webhooks, scheduled tasks — we reach for a Redis-backed queue like Asynq so work survives a restart.
REST/JSON for anything public-facing or browser-consumed — it's debuggable with curl and needs no special tooling. gRPC for internal service-to-service calls where typed contracts, streaming, and HTTP/2 multiplexing actually matter. Most platforms end up using both, at different boundaries.
Yes — a large share of our work is brownfield. We start with a tech audit, run `go vet` and the race detector across the existing code, identify the safe seams, and ship into the running service behind feature flags. No big-bang rewrites.
Table-driven tests with the standard `testing` package and testify for assertions, run with `-race` in CI on every PR. Integration tests spin up real Postgres via containers rather than mocking the database. Nothing merges if the suite — or the race detector — is red.
10 — Start
Let's build something worth shipping.
Two-week diagnostic, four-week MVP, twelve-week ground-up. Bring the brief — we'll send a plan, not a pitch deck.
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