Advertisement
Advertisement
β‘ Community Insights
Discussion Sentiment
100% Positive
Analyzed from 345 words in the discussion.
Trending Topics
#learning#skills#user#evals#opportunities#skill#exercise#offers#code#text
Discussion Sentiment
Analyzed from 345 words in the discussion.
Trending Topics
Discussion (7 Comments)Read Original on HackerNews
Conceptually, you should treat them as incremental software instead of magic you grab from others [1]
The killer feature is that coding harnesses tend to have SkillBuilder agent skills so creating them becomes very easy and you can evolve them.
I recommend you build your own for your particular pain points.
Very simple example [2] showing what another user mentioned around "evals" so that you can really achieve good enough correctness for your automation.
- [1] https://alexhans.github.io/posts/series/evals/building-agent...
- [2] https://alexhans.github.io/posts/series/evals/sketch-to-text...
> When you complete architectural work (new files, schema changes, refactors), Claude offers optional 10-15 minute learning exercises grounded in evidence-based learning science. The exercises use techniques like prediction, generation, retrieval practice, and spaced repetition to provide you with semi-worked examples from across your own project work.
Confusing name though.
I want to learn Java spring, and probably let ai help me / quiz me. I will take a look into the skills for inspiration.
I know I sometimes get demotivated mid-way, but that also tells me it might not be worth the investment