favoboa

3 ms·

1.
Why coding agents stop early on long-horizon software tasks(factory.com)
3 points by favoboa 1mo ago|0 comments
2.
A Case Against SDKs(twitter.com)
6 points by favoboa 2mo ago|1 comments
3.
by favoboa 4mo ago
Factory AI | AI, Fullstack, Frontend, Platform, Data, Product Engineers + GTM, Design, Operations | San Francisco, CA (+ NY, London for some roles) | ONSITE | Full-time | https://factory.ai At Factory we build Droids, autonomous
4.
by favoboa 5mo ago
Factory AI | AI, Fullstack, Frontend, Platform, Data, Product Engineers + GTM, Design, Operations | San Francisco, CA (+ NY, London for some roles) | ONSITE | Full-time | https://factory.ai At Factory we build Droids, autonomous
5.
by favoboa 11mo ago
A picture of a thousand words with some of them colored, bolded, underlined, etc is worth more than a thousand words
6.
by favoboa 1y ago
Thanks for the detailed critique. I think we might be talking past each other on the "super-manager" term. I defined it as a hybrid of EM + IC roles, not pure management, though I can see how that term invited misinterpretation. O
7.
by favoboa 1y ago
You're absolutely right about the garbage code being shipped, and I would bucket them under another group of adopters I didn't mention earlier. There are people hesitant to adapt, people thriving with AI, and (not exhaustively) al
8.
by favoboa 1y ago
don't say this out loud or Claude Code will add a 'Team retrospective' mode where you and your sub agents all reflect on their feelings
9.
by favoboa 1y ago
I believe AI isn't replacing developers, instead, it's turning every software engineer into a hybrid between EM + IC, basically turning them into super-managers. What we need is better tools for this upcoming new phase. Not a new
10.
TimeCopilot: Framework for Forecasting combining Time Series Models with LLMs(arxiv.org)
2 points by favoboa 1y ago|0 comments
11.
by favoboa 1y ago
Interesting read that resonates with what I have been doing lately. I am really glad to see good engineering practices such as linting, proper code architecture, and no network calls in tests, etc. are now paying off by letting agents move
12.
Beyond Statistical Learning: Exact Learning Is Essential for AGI(arxiv.org)
2 points by favoboa 1y ago|0 comments
13.
Cchistory: Tracking Claude Code System Prompt and Tool Changes(mariozechner.at)
3 points by favoboa 1y ago|0 comments
14.
Frugal Machine Learning for Energy-Efficient, and Resource-Aware AI(arxiv.org)
1 points by favoboa 1y ago|0 comments
15.
Because We Have LLMs, We Can and Should Pursue Agentic Interpretability(arxiv.org)
4 points by favoboa 1y ago|0 comments
16.
Small language models are the future of agentic AI(arxiv.org)
113 points by favoboa 1y ago|45 comments
17.
Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking(arxiv.org)
45 points by favoboa 1y ago|46 comments