softwarewright

7 ms·

1.
Show HN: A Coding Agent from Scratch(blog.softwarewrighter.com)
2 points by softwarewright 5h ago|0 comments
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Show HN: I made a tiny MoE/Engram viz tool(sw-ml-study.github.io)
2 points by softwarewright 3d ago|0 comments
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by softwarewright 5d ago
But I am creating programs to manage the coding agents for me. Of course I am using coding agents to do that. It's turtles all the way down :-)
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by softwarewright 5d ago
me too; and my coding agents are slowed down (from developing features) because I require them to refactor the code to be more readable; my code metrics tests force AIs to leverage functional programming and design patterns). Yes agents can
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by softwarewright 5d ago
I have the same "1/30th ... simultaneous" experience with coding agents, and I am having fun. Directing teams of agents to solve many problems (or create many useful things) for me has its own fun challenges/puzzles-to-
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by softwarewright 6d ago
This is interesting. It would be even better if ones coding agent also got better at its coding abilities every night. Otherwise, agents might re-introduce the same class of bugs that your nightly improvements keep reacting to. This would
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by softwarewright 6d ago
I picked an ETF so there may have been less analysis (no business to analyze). I will look again for "perspectives"
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by softwarewright 6d ago
I like the upgrades and wall repair features. I made it on to the leader board :-)
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by softwarewright 6d ago
nice. is there a way to repair burned houses or put out fires?
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by softwarewright 6d ago
nice UI, analysis took a while, but results looked very good. feedback: different users have very different goals, risk tolerance, knowledge, experience. I would wrap this with very focused UIs for different audiences. Many people want gr
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by softwarewright 6d ago
This is a good approach. I am also am trying to integrate ML and AI into a language as first class concepts, but currently more focused on the ML side, but also using inference. https://sw-ml-study.github.io/sw-mlpl/
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by softwarewright 7d ago
Claude Code, Codex, opencode (Z.ai GLM-5.x), sometimes Gemini -- most of my work is at Mac iTerm2 CLI or Arch Linux terminal. I sometimes use emacs as the coding agent, but rarely JetBrains IDE or vscode (more for reading/debugging co
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by softwarewright 9d ago
This IBM Research looks very promising: https://research.ibm.com/blog/northpole-llm-inference-result... which I found after watching this video: https://www.youtube.com/watch?v=G4nEpY1LYzM - The AI Chi
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by softwarewright 10d ago
I am curious about what Rust-based extensions I can add next to my custom machine learning programming language. > https://github.com/sw-ml-study/demo-extensions shows my first attempt at an extension, desktop graph
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by softwarewright 10d ago
I am a single person LLC so my "production" is just me using AI to build things. I use MCP for some things, like Playwright; for web UI development, but I also use CLIs, especially custom CLIs I create that have built-in help for
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by softwarewright 10d ago
I am trying to make it easier to use LLMs on older, cheaper, smaller GPUs. I'm taking a similar approach (move MoE expert weights to disk, avoid wasting VRAM on these). My goal is also to run models that do not fit. My work also suf
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by softwarewright 11d ago
I think AI is more of a radial arm saw. Very flexible, adaptable, capable, but very dangerous in untrained hands.
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by softwarewright 12d ago
I tried nono to limit commands an agent can run but that proved to be cumbersome. I ended up creating multiple logins on a Linux system. I used my developer account to clone git repos and then create local bare repos in a read only dir.
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Ask HN: Anyone using AI agents with SCPI equipment?
1 points by softwarewright 12d ago|0 comments
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by softwarewright 12d ago
This looks extremely helpful, thanks!
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Show HN: Learn/Practice Sudoku strategies web app(sw-fun.github.io)
2 points by softwarewright 12d ago|0 comments
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by softwarewright 12d ago
Have you considered providing APIs (possibly MCP) to a Wiki for agents. I've done this, and after solving some timing issues with concurrent page updates, I was able to get agents to cooperate on tasks and share info (and I could view&
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by softwarewright 12d ago
Understood, and I like a challenge. I've also solved some tough engineering problems in the past (before AI). With AI it seems (and I emphasize seems) that I can tackle much harder problems. That's why I am proceeding to measu
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by softwarewright 12d ago
The value proposition I am pursuing is not faster speed, but increased throughput (and possibly reduced kWh). I'm trying to understand the benefits of streaming expert weights through hardware that offloads the math and avoids storing
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by softwarewright 13d ago
In my fork, I've added ./experiments where I hacked together a shell wrapper for a no_std Rust app to implement head -<n>. help > help.txt <script path>/head -2 help.txt works. This shows how I can cross-compi
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by softwarewright 13d ago
Sorry, this was supposed to be a Show HN: post. Too late for me to edit the title. Maybe I will resubmit correctly in the future.
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by softwarewright 13d ago
Can you suggest what circuits? examples?
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by softwarewright 13d ago
But I can afford my already purchased drawer full of cheap FPGAs for experiments. I guess I am too risk adverse to bet $10,000 on an ASIC run (having no experience doing that and no desire to go that route). If I can demonstrate a proof-of-
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by softwarewright 13d ago
I am doing the initial work on many core dual CPUs. I already have systems with large system RAM and older GPUs with less VRAM, and large SAS HDs, fast SSDs running large open weight LLMs that do not really fit any GPU I own (they offload
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by softwarewright 13d ago
Tang nano FPGAs are around $10, the idea being to couple with a $25 ARM or RISC-V dev board and offload the math from a streaming store. Coupling this with an older 8GB VRAM board can theoretically run a model whose weights do not fit. Th

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