My Daily Coding Stack
I'm a backend engineer at a startup. This is what I actually have open every day — not what I planned to use when I started, but what stuck after six months.
Public stack
The engineering infrastructure for a 2-8 person startup that needs to move fast, ship reliably, catch errors before users report them, and actually understand what's happening inside the product.
Workflow stack
CI/CD
Automated testing, linting, and deployment pipelines that live in the same repository — no separate CircleCI account, no YAML in a different system to maintain.
Open tool profileIssue tracking
Issue tracker that moves as fast as the engineering team — keyboard-driven, opinionated workflow, and deep GitHub integration so issues close automatically on merge.
Open tool profileDeployment
Preview deployments on every pull request let designers and PMs review changes before merge — production deploys happen on push to main with zero configuration.
Open tool profileError tracking
Catches unhandled exceptions with full stack traces and git blame before users open a support ticket — set an alert threshold and the on-call engineer gets a Slack ping.
Open tool profileProduct analytics
Product analytics, session replay, and feature flags in one tool — understand which features users actually use without juggling Mixpanel, Hotjar, and LaunchDarkly separately.
Open tool profileIssue tracking that feels fast: keyboard-first triage, cycles, and AI assists baked into how engineering work actually moves.
Frontend cloud from the Next.js creators: Git-connected deployments, preview URLs per branch, serverless and edge functions, CDN, analytics, and team workflows—optimized for modern JavaScript frameworks.
Error monitoring, performance tracing, logs, session replay, profiling, and uptime products for developers—SDKs across major languages and frameworks with issue workflow at the center.
Open-core analytics, replay, flags, experiments, error tracking, warehouse, pipelines, and logs on PostHog Cloud—generous per-product free tiers each month, then usage-based rates (e.g. ~$0.00005/event for analytics after the first 1M events).
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