waleedk

6 ms·

1.
by waleedk 7mo ago
I did. Got zero response. The data would seem to indicate some tailoring is required ;-). Here's the original not tailored post: https://news.ycombinator.com/item?id=47167393
2.
by waleedk 7mo ago
Useful criticism -- what could I have done to help you get that message sooner?
3.
by waleedk 7mo ago
In a sense? This human built a system for AI to build stuff then asked the AI to summarize what the AI that built the human built? It was more of a conversation, but it was like: Hey I wrote these 6 points about what we're doing differ
4.
by waleedk 7mo ago
Ha! I would rather fight 100 workhorse AIs with an Architect + Builder AIs on my side :-). Seriously, the agents managing agents thing works so well. When I'm working, I'll sometimes have 6 builder agents fixing different bugs, an
5.
by waleedk 7mo ago
Yes, this is spec kit on steroids. In particular specs + protocol enforcement works _really_ well. The protocol enforcement is the game changer: I would find the AI just wouldn't stick to specs or plans. Great suggestions. I will do th
6.
by waleedk 7mo ago
Happy to answer any questions. Here are those links as clickables: Github: https://github.com/cluesmith/codev Tour + raw results: https://cluesmith.com/blog/a-tour-of-codevos/
7.
6 Practices that turned AI from prototyper to workhorse (106 PRs in 14 days)
15 points by waleedk 7mo ago|12 comments
8.
by waleedk 7mo ago
Hey HN, I'm Waleed. CodevOS is the system I've been building to explore a question: what happens when you stop thinking of AI as a coding assistant and instead think of the problem of having a human-AI joint software dev team? The
9.
Show HN: CodevOS – Human-AI dev OS that shipped 106 PRs in 14 days on 80k LOC(cluesmith.com)
6 points by waleedk 7mo ago|1 comments
10.
by waleedk 9mo ago
Most IDEs are built for humans, with AI bolted on as an assistant. Agent Farm is built for both: AI agents and humans share the same terminal, same commands, same workflow. We shipped 60 features using it to build itself. GitHub: https:&#x
11.
Show HN: Agent Farm – An IDE designed for AI and humans to work together(github.com)
1 points by waleedk 9mo ago|1 comments
12.
by waleedk 11mo ago
Thanks! Appreciate the link!
13.
Ask HN: How do you convert AI-generated Markdown into high-quality PDFs?
1 points by waleedk 11mo ago|3 comments
14.
by waleedk 11mo ago
Author here. Got tired of hearing so much about AGI, when the problems with AI today are more pressing.
15.
AGI is a Long Ways Off. Anyone who says otherwise is Selling Something(waleedk.medium.com)
1 points by waleedk 11mo ago|1 comments
16.
Characteristics of successful AI chat integrations(waleedk.medium.com)
1 points by waleedk 1y ago|1 comments
17.
by waleedk 1y ago
We’re still learning how to integrate chat interfaces in existing web apps. A lot of big companies are getting this badly wrong (including Google and Meta). I posit 4 principles of successful chat integrations: - Must be able to operate on
18.
by waleedk 1y ago
I think of context as something dynamic that you build as you need it. Part of getting something like Claude Code to the point where it can produce great results is selecting different parts to emphasize. Intent is important, but so are goa
19.
Good context leads to good code: How we built an AI-Native Eng Culture(blog.stockapp.com)
4 points by waleedk 1y ago|3 comments
20.
by waleedk 1y ago
Author here. Happy to answer any questions you have. I know the HackerNews crowd is anti-AI in the workforce overall, but I wanted to share a different approach which is optimizing for collaboration between humans and AI. This maps into cer
21.
Claude Code Top Tips: Lessons from the first 20 hours(waleedk.medium.com)
4 points by waleedk 2y ago|0 comments
22.
by waleedk 2y ago
[Original poster here] I agree in the wrong hands it can be dangerous. If you really think knowing the package visibility of a static variable in Java is the critical thing to succeed in your role, then you have bigger problems.
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High signal job interviewing: Bayesian style(waleedk.medium.com)
3 points by waleedk 2y ago|3 comments
24.
by waleedk 3y ago
[Author] The problem is: how could you objectively evaluate the factuality in any other way? Summary ranking is an established approach in the literature.
25.
by waleedk 3y ago
[Author] This is what I meant. That even if it doesn't work at a single layer, you could build a "verifier" stage whose approach is similar to this verification process and it can make the decision.
26.
by waleedk 3y ago
[Author] As an end user, you pay the published price of $1 per million tokens for alternatives (such as Anyscale Endpoints -- https://app.endpoints.anyscale.com/landing , but there are others -- Replikate, Fireworks etc). Th
27.
by waleedk 3y ago
[Author] I acknowledge this and the article does as well. What I would say is that -- at the very least -- you could apply factual verification as a post process (so stage 1 is create the summary, stage 2 is validate the summary is factual
28.
by waleedk 3y ago
[Author] OpenAI uses Ray, the open source version of Anyscale Platform, for training their models (video evidence: https://www.youtube.com/watch?v=CqiL5QQnN64 ). Ray ( https://github.com/ray-project/ray )
29.
by waleedk 3y ago
[Author] I see it differently. I see that Anyscale built some really great infrastructure for scaling AI that could be applied to many domains. What we've seen is the market shift to LLMs, and we've been able to adapt our tech to
30.
by waleedk 3y ago
[Author] Can you be specific about which part of the research is dishonest? We've shared the code openly, you can reproduce it yourself if you want.

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