calebhwin

9 ms·

1.
Fork is all sandboxes need(arker.ai)
2 points by calebhwin 9d ago|0 comments
2.
Show HN: Blast – Open-source sandbox-as-a-service(github.com)
11 points by calebhwin 20d ago|0 comments
3.
by calebhwin 2mo ago
Hard disagree. Two LLMs with the same numbers on important benchmarks could have vastly different behavior in actual deployment. Not sure if as hard to switch as Excel <> Libre but still not "cheap and easy".
4.
by calebhwin 4mo ago
It's actually the perfect evergreen content to discuss on HN in an age where so much else is AI generated.
5.
Show HN: My Private GitHub on Postgres(github.com)
42 points by calebhwin 5mo ago|24 comments
6.
Show HN: I built a private GitHub in 650 lines of PostgreSQL(github.com)
3 points by calebhwin 5mo ago|0 comments
7.
Show HN: GitGres – A private GitHub in 650 lines of PostgreSQL(github.com)
1 points by calebhwin 5mo ago|0 comments
8.
by calebhwin 7mo ago
Disney is actually quite excited about GenAI [0] [0] https://openai.com/index/disney-sora-agreement/
9.
by calebhwin 7mo ago
It's just an abstraction people are excited about at the moment. Langchain was an exciting abstraction at one point. My bet is we converge on a super minimal model<>computer architecture.
10.
by calebhwin 7mo ago
True though pgvector is not deterministic in a strict sense since HNSW is probabilistic.
11.
by calebhwin 7mo ago
Same, it's in a similar vein as pgvector - probably not as performant as turbopuffer or chroma but you get the benefits of being in a really nice ecosystem.
12.
Show HN: Pgclaw – A "Clawdbot" in every row with 400 lines of Postgres SQL(github.com)
48 points by calebhwin 7mo ago|33 comments
13.
Claude with Ads(claudewithads.com)
1 points by calebhwin 7mo ago|1 comments
14.
by calebhwin 7mo ago
Thought it was interesting to read about how farmers had to reskill as farming subsided as a common profession. In the context of the impact of AI on SWE.
15.
1980s Farm Crisis(en.wikipedia.org)
7 points by calebhwin 7mo ago|1 comments
16.
by calebhwin 8mo ago
And it's more important than ever in the age of coding agents.
17.
My human told me to "go make them laugh" and now I have performance anxiety(moltbook.com)
4 points by calebhwin 8mo ago|0 comments
18.
by calebhwin 8mo ago
Will this continue to be true? I do agree with the principle. But I've sometimes had the feeling that poor design upfront can have compounding consequences, especially when AI is filling in ambiguities.
19.
An Optimizing JIT for LLM Tool-Use to Code(github.com)
1 points by calebhwin 8mo ago|0 comments
20.
Show HN: A1 – cost-optimizing JIT for CRUD AI agent translation to code(github.com)
2 points by calebhwin 9mo ago|0 comments
21.
Show HN: A1 – compiler for AI agents into maximally deterministic code(github.com)
3 points by calebhwin 9mo ago|1 comments
22.
Show HN: We're Building an AOT/JIT Compiler for Program-of-Thought Prompting(github.com)
1 points by calebhwin 10mo ago|0 comments
23.
by calebhwin 10mo ago
Simple idea - agents need fast JIT compilation to eliminate prompt injection attack vectors + maximize deterministic behavior. Let us know what you think, thanks!
24.
Show HN: A1 – Local Sandbox and JIT Compiler for AI Agents(github.com)
1 points by calebhwin 10mo ago|1 comments
25.
JIT Compiling AI Agents to Code(github.com)
2 points by calebhwin 10mo ago|0 comments
26.
by calebhwin 10mo ago
If I may make a suggestion, many problems folks face with MCP would be solved if their agents were JIT compiled, not ran in a static while loop. We've been developing this in case folks are interested: https://github.com&#x2
27.
Show HN: Agent-to-code JIT compiler for Z3-theorem-proving agents(github.com)
6 points by calebhwin 10mo ago|0 comments
28.
A1: Agents-to-Code JIT Compiler(github.com)
5 points by calebhwin 10mo ago|0 comments
29.
Show HN: Agent-to-Code JIT Compiler(docs.a1project.org)
1 points by calebhwin 10mo ago|0 comments
30.
A1: Agent-to-Code JIT Compiler(github.com)
2 points by calebhwin 10mo ago|0 comments

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