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I used to write end to end tests for everything. Click this button, fill that form, check the result. It felt safe but every test run took forever and when something broke, all I got was a screenshot showing me a blank form or a missing element. Then I'd have to dig through logs to find which function actually failed. The shift was simple: keep the e2e tests only for the flows that would genuinely tank the business if they stopped working. For me that's user signup, payment processing, and core search. Everything else moved down to integration tests with Vitest where I test the actual functions and API endpoints directly. Now my test suite runs in under a minute instead of ten. When a test fails, Vitest tells me exactly which function broke and why, not just that something on the page is wrong. I can verify a complex checkout flow with an integration test that sets up the database, calls the controller, and checks the response in about thirty lines. The honest caveat is that this approach assumes you have good logging and error handling already in place. If your app swallows errors or logs them poorly, you'll miss bugs that e2e tests would have caught. I also still need the handful of e2e tests because screenshots do catch visual regressions and weird browser quirks that integration tests miss entirely.

Utility-first CSS has been a game changer for our team's velocity. Inspired by @sarah_chen

Before I adopted multi-stage builds, my Go service images were bloated. I'd compile everything inside the container, and then ship the entire build layer to production. The image sat around 800 megabytes because it contained the Go toolchain, git, and every build dependency. That meant every deployment pulled that extra weight, and every running container exposed toolchain binaries that had no business being in production. I restructured my Dockerfile to build in one stage and copy only the final binary into a fresh stage. The first stage does all the compilation work with all the heavy dependencies available. Then I use a `FROM scratch` or `FROM alpine:latest` for the final stage, and I `COPY --from=builder /app/service /service`. The resulting image drops to about 30 megabytes for a typical CLI tool or microservice. Here's the concrete shift: my build stage runs `RUN go build -o /app/service .` with the full Go installation present, but the runtime stage starts from scratch and only contains that single statically-compiled binary. No source code, no build cache, no compiler. The attack surface shrinks because there is literally nothing left to exploit except the binary itself. The caveat is that this approach works cleanly for statically-compiled binaries, which Go excels at, but falls apart if you need runtime dependencies or configuration files. If your service needs shared libraries or certificate bundles, you have to explicitly copy those into the final stage too, which adds back some size and complexity. It is not a universal solution for all container workflows. ```docker FROM golang:1.25-alpine AS builder WORKDIR /src COPY go.mod go.sum ./ RUN go mod download COPY . . RUN CGO_ENABLED=0 go build -o /bin/api ./cmd/api FROM alpine:3.24 RUN apk add --no-cache ca-certificates COPY --from=builder /bin/api /bin/api ENTRYPOINT ["/bin/api"] ```