lordmathis

27 ms·

1. 1.▲
   by lordmathis 7mo ago

   I also experienced this with my personal projects. It was really easy to just workshop a new feature. I'd talk to claude and get a nice looking implementation spec. Then I'd pass it on to a coding agent which would get 80% there b
2. 2.▲
   Show HN: Llamactl – Self-hosted LLM manager with OpenAI-compatible routing(github.com)

   2 points by lordmathis 7mo ago|0 comments
3. 3.▲
   by lordmathis 7mo ago

   I started designing and building a voice assistant for myself and then realized that the only time I'd find it useful would be during cooking to set timers. But a loud extractor fan would be running making the voice recognition very di
4. 4.▲
   by lordmathis 7mo ago

   Sure, Claude and other SOTA LLMs do generate about 90% of my code but I feel like we are not closer to solving the last 10% than we were a year ago in the days of Claude 3.7. It can pretty reliably get 90% there and then I can either keep p
5. 5.▲
   by lordmathis 7mo ago

   That's cool. I tried the b64 thing on my local qwen3.5 27b without access to tools and it did it.
6. 6.▲
   by lordmathis 7mo ago

   It's 6 months away the same way coding is apparently "solved" now.
7. 7.▲
   by lordmathis 1y ago

   I learned to write well testable code when I learned go. It pushes you to pass interfaces instead of direct implementations. There's also no inheritance, just composition. While there's no 1 to 1 translation to Python the concepts