An opinionated list of Python frameworks, libraries, tools, and resources
In the fast-paced world of continuous integration and deployment (CI/CD), managing sensitive information like API keys, tokens, and credentials—collectively known as secrets—is not just a best practice; it's a critical foundation for security and efficiency. GitHub Actions provides a robust framework for automating workflows, but a common friction point for many development teams, particularly tho
The Challenge of Scalable Secrets Management in GitHub Actions For development teams scaling beyond a handful of repositories, managing environment-specific variables and secrets in GitHub Actions can quickly become a significant bottleneck. The manual duplication of configurations across multiple repos, especially when dealing with distinct environments like development, staging, and production
If your Flutter app offers any third-party login on iOS — Google, Facebook, anything — Apple's App Review guideline 4.8 forces you to also offer Sign in with Apple. That part is non-negotiable. .p8 keys, capabilities, entitlements, deep links — and most of it is only documented across three or four different Apple and Supabase pages that don't quite agree with each other. This is the guide I wis
I got tired of the same three-step content publish loop: write draft → open CMS → paste, format, re-paste, fight the rich-text editor, click publish. Repeat for every environment — staging, then production. For one article, fine. For a team publishing 20+ pieces a month? That workflow is a quiet tax on everyone's time. So I wired up a pipeline that cuts the loop entirely. You commit a .md file to
Most teams I have worked with have one auth test in their suite. It looks like this: test('valid token verifies', () => { const token = signSync({ sub: 'user-1', aud: 'api://backend' }, secret); const result = verify(token, options); expect(result.valid).toBe(true); }); That test is fine. It is also a smoke test, not a regression suite. It catches the case where verification is completely b
Supabase Edge Functions run on Deno Deploy and are far more capable than simple REST handlers. This guide covers three advanced patterns every indie developer should know: streaming responses (for LLM integrations), WebSocket upgrades (for real-time features), and background jobs using EdgeRuntime.waitUntil. The most common use case is streaming LLM output without blocking the client. // supabase/
Supabase Realtime streams PostgreSQL changes to clients over WebSocket. Combine it with Flutter and you can ship live notifications, "who's online" indicators, and collaborative editing in dozens of lines of code. This guide covers all three channel types — Postgres Changes, Presence, and Broadcast — with production-ready examples. Type Use Case Data Source Postgres Changes React to INSERT/