vladsh

6 ms·

1.
by vladsh 8mo ago
It’s a bit strange how anecdotes have become acceptable fuel for 1000 comment technical debates. I’ve always liked the quote that sufficiently advanced tech looks like magic, but its mistake to assume that things that look like magic also s
2.
by vladsh 9mo ago
We should get back to the basic definition of the engineering job. An engineer understands requirements, translates them into logical flows that can be automated, communicates tradeoffs across the organization, and makes tradeoff calls on m
3.
by vladsh 9mo ago
Skills are a pretty awkward abstraction. They emerged to patch a real problem, generic models require fine-tuning via context, which quickly leads to bloated context files and context dilution (ie more hallucinations) But skills dont really
4.
by vladsh 10mo ago
LLMs get over-analyzed. They’re predictive text models trained to match patterns in their data, statistical algorithms, not brains, not systems with “psychology” in any human sense. Agents, however, are products. They should have clear UX b
5.
by vladsh 10mo ago
What is a good Claude.md?
6.
by vladsh 11mo ago
Or use this solution and get fine-tuned context generated for each and every task just-in-time : devly.ai Please stop expecting every engineer on the team to be an ai engineer just to get started with coding agents
7.
The Dirty Secret of Coding Agents(medium.com)
2 points by vladsh 1y ago|1 comments
8.
Show HN: AgentCheck – Local AI-powered code review agents for Claude Code(github.com)
4 points by vladsh 1y ago|1 comments