I’ve been obsessed with computer vision, machine learning, and all things AI for over a decade — and I still genuinely love it.
Joined April 2009
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Harness engineering is essentially prompt engineering in a new form. The skills and instructions we write raise the chances of success, but they give no guarantees. Every written line stays a recommendation for the AI, and the model can always ignore it at its own discretion.
In return you get a kind of reliability you can really rely on. The pipeline is stable by its construction, without huge prompts for perfect accuracy, without hidden drift between runs, with static checks confirmed before every run.
Everything is open source under Apache 2.0, so you can try it in a minute or read the full theory at your own pace.
npm i -g reharness
github.com/bes-dev/reharness
Deep dive - where Agentic AI meets classic compiler theory: bes-dev.com/posts/reasoning-…
How was your weekend? I spent mine launching the Space Shuttle. With NASA code from 1970 that nobody could run for 50 years.
The RS-25 engines in this simulation are the same engines flying RIGHT NOW on SLS for Artemis. The code that evaluated whether the Shuttle concept would work - still gets the math right for hardware heading to the Moon.
7,811 lines. 44 subroutines. 10 fixes. Wikipedia. One `make run`.
bes-dev.com/posts/shuttle-la…
github.com/bes-dev/sssp
@NASA