Suboptimal choice. According to AutoCodeBench, for equivalent problem complexity, LLMs generate correct Kotlin code ~70% of the time versus ~40% for Python, and Go scores lower than Python. Kotlin can be executed as a script while providing super fast compilation phase next to evaluation phase, which is further reducing a chance of mistakes. I don't use tools anymore. I just let my LLMs output Kotlin script directly together with DSLs tailored to the problem space, reducing cognitive load for the machine. It works like a charm as a Claude Code replacement, not only coding autonomously in any language, but directly scripting DB data science, Playwright, etc., while reducing context window bloat.
Readit Newsmorisil commented on Ask HN: What's your experience with using graph databases for agentic use-cases? · Posted by u/mpetyak
1. LLMs excell at extracting facts from the context. Storing them as a subject-predicate-object relationships is "natural" for graph databases. Doing it right, so that this knowledge can be utilized more efficiently than any RAG, requires sophisticated context engineering, for example to avoid duplicates and keep consistent vocabulary for relationships, but it is totally achievable and the quality of automatically extracted knowledge can be almost spotless, especially if an LLM can also decide on generating parallel embeddings as a semantic search entry point for graph traversal.
2. Writing cypher queries is a job I would never like to have as a human. But LLMs love it, so that an agent can do an ad hoc data science for every single problem. Especially while being aware which criteria were used for graph construction. It is worth ditching things like MCP in favor of tool graph-like solutions. For this purpose I developed my own DSL which only LLM speaks in internally. The effects are mind-blowing.
morisil commented on Ask HN: What Problem Would You Solve with Unlimited Resources? [May 2025] · Posted by u/hedayet
I would support every political and social movement progressing us on the spectrum from patriarchy to matriarchy. In particular I would put pressure on the legal system of countries where women are still not allowed to inherit land and property.
The next biggest problems to tackle:
- the way we are producing proteins
- the way we are producing energy
- adoption of cognitive AI in scientific research
morisil commented on Ask HN: How to teach agentic AI? Please share your experience · Posted by u/morisil
A bit off topic, but what would you consider as the best applications of agentic ai?
Personally I use it for implementing complete new features using test driven development, or fix bugs in existing code base.
Outside of software development I use it for managing all the legal documents of our cooperative (and it's Germany, and I don't speak German well ;) )
morisil commented on Ask HN: How to teach agentic AI? Please share your experience · Posted by u/morisil
My advice - embrace TDD. Work with AI on tests, not implementation - your implementation is disposable, to be regenerated, tests fully specify your system through contracts. This is more tricky for UI than for logic. Embracing architectures allowing to test view model in separation might help. I general anything reducing cognitive load during inference time is worth doing.