Senior Software Architect

Buenos Aires, Argentina
Joined February 2008
AI can generate a dashboard in seconds. But getting something you’d actually send to a client, publish on the web, or reuse tomorrow? That’s a different problem. I shipped two open-source projects to close that gap.
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The bigger idea: agent-generated UIs shouldn't be disposable chat artifacts. They should be portable, reproducible deliverables you can inspect, reuse, host, and share. That's what I wanted. So I built it.
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Same CLI. Python, Go, Rust, Zig. AI wrote all four. The slowest port found bugs the others sailed past. The hard language got easy once I stopped porting and started adding features. github.com/flesler/scip-cli
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Zig lesson, paid for in hours: read the stdlib source. Docs and training data lag the language. 0.17-dev deleted basic file I/O, thread pools, CLI args. Models still generate 0.13. Unstable elegance loses to boring APIs that still exist next month.
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For AI-written code, from this experiment: Go: clear errors, ships fast Rust: painful rewrite, fewer landmines later, features get easier once the patterns are in Zig: compiles in a blink, burns the calendar on API churn Tables, quotes, timings: github.com/flesler/scip-cli/…
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I recently launched aip 🚀 CLI project management built for 🤖. Create projects/tasks, track progress, enforce structure. It has been evolved by my own 🤖 based on usage logs. PRs welcome, Let your 🤖 run `aip usage quickstart` and see what it thinks! github.com/flesler/ai-projec…
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@NousResearch @Teknium it's been running on my Hermes agent, a nightly cron looks at all terminal calls (aip or not) and suggests improvements and/or new commands. It's been working well! Can use: aip help skill --mode hermes > ~/.hermes/skills/some_toolset/SKILL.md
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