alexop.dev valid
alexop.dev
A Personal Blog from a simple web developer
For agents: Personal blog by a web developer on coding agents, Claude Code, TypeScript and Effect, with full blog content in llms-full.txt.
coding agentsclaude codetypescriptvibe engineeringcode review
- Authority
- 50 reach 0 · trust 10 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://alexop.dev/llms.txt
- llms-full.txt
- https://alexop.dev/llms-full.txt
- Sections
- 5
- Links
- 154
- Size
- 42963 bytes
- Registered
- 2021-05-13
- Country
- Germany Hosting inference
- Hosting country
- Germany Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- Personal sites and blogs
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Search content Read documentation About these labels
- Audience
- developers · agents can: search content, read docs · en
- First seen
- 2026-10-23T14:37:13.106Z
- Last checked
- 2026-10-23T14:37:14.926Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T14:37:13.130Z. Cached copy · Source on alexop.dev
# alexop.dev
> A Personal Blog from a simple web developer
## Full Documentation
- [Full Blog Content](https://alexop.dev/llms-full.txt): Complete blog posts with full content for deep context.
## Blog
- [Learning from pstack: Build Your Own Reliable Coding Agent Stack](https://alexop.dev/posts/learning-from-pstack): The written version of my TypeScript Meetup Munich talk. What pstack teaches about planning, implementation, review and verification, and how to give your own agent a verification skill that proves its work.
- [I think software teams will shrink to 2-4 people plus agents](https://alexop.dev/posts/software-teams-will-shrink-to-2-4-people-plus-agents): This post follows one ticket through a German Scrum team and shows where that path breaks.
- [The death of the software developer](https://alexop.dev/posts/the-death-of-the-software-developer): In 2026, the developer who writes every line by hand will disappear. What still matters: knowing what to build, caring for a codebase, and being a high-agency generalist.
- [The Dirty Flag Pattern, Explained with Snake](https://alexop.dev/posts/dirty-flag-pattern-snake): Stop redrawing what didn't change. Learn the dirty flag pattern with an interactive Snake game, then see where the same idea hides in Vue's computed.
- [pstack's Playbooks, Explained as Factorio Factories](https://alexop.dev/posts/pstack-playbooks-as-factories): pstack's poteto-mode picks one of 23 playbooks for every task. I built ten of them as interactive Factorio-style factories, so you can see why a bug fix, a refactoring and a hillclimb each need a differently shaped factory.
- [Run Only the Playwright Tests Your Change Can Affect](https://alexop.dev/posts/run-only-affected-playwright-tests): Feature-based architecture can shorten your E2E feedback loop. A working Nuxt example with dependency-aware test selection and GitHub Actions.
- [How I made exercise icons with Codex and ChatGPT](https://alexop.dev/posts/building-workout-app-ai-exercise-icons): I used ChatGPT and Codex image generation to create matching exercise icons for my workout app. See the reference image and before-and-after screenshots.
- [Hexagonal Architecture in Vue: Where to Put Your Code and Why](https://alexop.dev/posts/hexagonal-architecture-vue): Learn what belongs in Vue components, composables, the application core, and adapters. Use ports and adapters to make rules easier to test and changes easier to contain.
- [Enforce Tailwind CSS Design Tokens in Vue with @shadcn/lint](https://alexop.dev/posts/enforce-tailwind-design-system-shadcn-lint): Catch raw colors, arbitrary values, and component overrides in Vue with @shadcn/lint. Includes ESLint setup and interactive before-and-after examples.
- [What my first Tacon taught me: give AI a better testing process and know your audience](https://alexop.dev/posts/my-first-time-at-tacon): Reflections from my first Tacon: testing talks, speaking to a QA audience, and building better AI-assisted testing work
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