101–110 of 346 posts
It was very easy to connect the harness to the local model and it seems to run quite fast, compared to other harnesses that I have tried.
Is there a reason why so many of these agent harness are written in node.js?
1. it's built for async 2. runs everywhere 3. interpreted, making it fast to iterate on 4. decent performance 5. most popular language, llms are decent at writing it
fast iteration is for POCs. once you have the app built and working, you need performance and stability much more than fast iteration
«It uses an architecture where everything is a plugin» Ok, that's enough for me. I have developped over the year a plugin fatigue. Every product relying on "community plugins" for their features implies it works fine the 6 first months, then it's a nightmare of incompatible, deprecated, incompatible plugins, with no consistency and no governance. I understand how attractive it can be to companies to think, hey, let's…
«It uses an architecture where everything is a plugin» Ok, that's enough for me. I have developped over the year a plugin fatigue. Every product relying on "community plugins" for their features implies it works fine the 6 first months, then it's a nightmare of incompatible, deprecated, incompatible plugins, with no consistency and no governance. I understand how attractive it can be to companies to think, hey, let's…
AI can write custom plugins for you. So this means the tool is infinitely flexible for you, even without any community.
Compare this to Zed where I can't make a hexviewer for binary files or player for audio files for myself without recompiling Zed's source code.
Earlier quoted context omitted.
New coding harness that seems to have some novel concepts and one of the pretty cool things on their landing page for it here: https://deepseek.com/harness/en/ is the Every Run is Traceable view: "Everything the model sees is recorded in an append-only session log: system prompts, reasoning, tool calls and results, subagent scheduling, and every context injection. In the Trajectory view, you can inspect these records…
I promise this isn't meant to be snarky, but is that not just...logs?
But the future is here and thus it's called "Agentic causality's reified temporal traceability."
Earlier quoted context omitted.
Probably for the ease of coding extensions — which strikes me as outdated thinking: if it’s open source and you’re outsourcing the coding to LLMs, why not use a compiled, safe language? There’s an interesting counter example for DeepSeek called CodeWhale, though: https://github.com/Hmbown/CodeWhale
Also isn't OpenAI's Codex written in Rust?
«It uses an architecture where everything is a plugin» Ok, that's enough for me. I have developped over the year a plugin fatigue. Every product relying on "community plugins" for their features implies it works fine the 6 first months, then it's a nightmare of incompatible, deprecated, incompatible plugins, with no consistency and no governance. I understand how attractive it can be to companies to think, hey, let's…
Sounds like a Linux architecture, innit?
I have read the underlying paper, and found it may be useful, but not that useful. For those who want to know what it achieves: it adds hot-reload and dynamic enable/dispose capabilities to a plugin system, like the one in Pi agents, though they push the boundaries further, to the UI components and so on. For those who want to know what it does: if you have some PLT knowledge, ask your agent to explain the algebra to…
Earlier quoted context omitted.
Also isn't OpenAI's Codex written in Rust?
I don’t think so. The ChatGPT app was, which is the “Classic” app now. The Codex app that they’re carrying forward is an Electron app and if you forget to quit it before you walk away it’ll make even your M5 Max unresponsive eventually. Sad days.
I have read the underlying paper, and found it may be useful, but not that useful. For those who want to know what it achieves: it adds hot-reload and dynamic enable/dispose capabilities to a plugin system, like the one in Pi agents, though they push the boundaries further, to the UI components and so on. For those who want to know what it does: if you have some PLT knowledge, ask your agent to explain the algebra to…
That actually sounds amazing.