Jet_Xu

7 ms·

1.
by Jet_Xu 5mo ago
It depends on whether nowadays FLAG will still need engineer write code during interview.
2.
Strong feeling: we are in a folded AI reality
1 points by Jet_Xu 5mo ago|1 comments
3.
by Jet_Xu 5mo ago
You are right but it is not because the weakness of AI, it is because all AI generation app are built by those coder only know .md files. They do not know what a consultant level slides looks like. See this demo in the middle I show some to
4.
by Jet_Xu 5mo ago
Try DocMason it is born for agentic analyze messy office files. https://github.com/JetXu-LLM/DocMason Demo video: https://youtu.be/Sq3a5qxsLwM
5.
by Jet_Xu 5mo ago
If you want to get knowledge from KB within 10 seconds, then traditional RAG (embedding+vector based) is still the most efficient way -- maybe more in consumer facing search / chat area. If you want to get most precise and useful info
6.
by Jet_Xu 6mo ago
I believe Multimodal KB+Agentic RAG is a suitable solution for personal KB. Imagine you have tons of office docs and want to dig some complex topics within it. You could try https://github.com/JetXu-LLM/DocMason Fu
7.
by Jet_Xu 6mo ago
I pressed Hide, but still not work. And I do not have a "delete" button under this post. It is really awkward...
8.
by Jet_Xu 6mo ago
I am so sorry that I post two duplicate post in Show HN for same project please just refer to this post with main content in the body (pure hand write content no AI generation ^-^): https://news.ycombinator.com/item?id=47640
9.
Show HN: DocMason – Agent Knowledge Base for local complex office files(github.com)
11 points by Jet_Xu 6mo ago|0 comments
10.
by Jet_Xu 6mo ago
No, too harmful for my eyes...
11.
Ask HN: Whether there is LLM or other strong NLP behind Hacker News?
3 points by Jet_Xu 6mo ago|1 comments
12.
by Jet_Xu 6mo ago
What I want is markdown format support in Hacker news. But other features really not important :)
13.
Ask HN: The repo is the app. Codex is the runtime. Could this be future pattern?
1 points by Jet_Xu 6mo ago|0 comments
14.
Are you drowning in AI code review noise? 70% of AI PR comments are useless
2 points by Jet_Xu 11mo ago|0 comments
15.
Show HN: AI code reviewer that analyzes cross-module impacts
1 points by Jet_Xu 11mo ago|0 comments
16.
by Jet_Xu 2y ago
Please refer to my recent AI Code review performance test include DeepSeek V3: https://news.ycombinator.com/item?id=42547196
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Ask HN: DeepSeek V3's AI Code Review Performance – A Reality Check with Data
2 points by Jet_Xu 2y ago|1 comments
18.
Ask HN: AWS DynamoDB Triggers – A Time Bomb in Your Production Environment?
3 points by Jet_Xu 2y ago|3 comments
19.
What do you check first in PR review? Help shape our AI Code review tool(github.com)
1 points by Jet_Xu 2y ago|1 comments
20.
by Jet_Xu 2y ago
A few weeks ago, I shared LlamaPReview (an AI PR reviewer) here on HN and received great feedback [1]. Now I'm trying to understand how experienced developers prioritize different aspects of code review to make the tool more effective.
21.
by Jet_Xu 2y ago
Interesting timing, considering China just launched an antitrust probe into Nvidia [1] and there were earlier reports about H20 order suspension [2]. This hiring push seems to be a delicate balancing act: - Expanding autonomous driving R&am
22.
by Jet_Xu 2y ago
Interesting approach! While converting docs to markdown works, I've found that technical documentation (especially for complex repos) needs more than just text conversion for effective LLM consumption. The key challenge is preserving r
23.
by Jet_Xu 2y ago
Interesting approach! While URL-based extraction is convenient, I've been working on a more comprehensive solution for repository knowledge retrieval (llama-github). The key challenge isn't just extracting code, but understanding
24.
by Jet_Xu 2y ago
Interesting discussion! While RAG is powerful for document retrieval, applying it to code repositories presents unique challenges that go beyond traditional RAG implementations. I've been working on a universal repository knowledge gra
25.
Lessons Learned: Migrating to Mistral-Large-2411 for Production Code Reviews(medium.com)
4 points by Jet_Xu 2y ago|1 comments
26.
by Jet_Xu 2y ago
I'd like to share our technical journey migrating our code review system from Mistral-Large-2407 to 2411, and the key challenges we overcame. Here are the most interesting findings: 1. Prompt Pattern Evolution - Initial challenge:
27.
by Jet_Xu 2y ago
Is that possible this bot could understand and remember all my history emails, and then conduct Agentic RAG before helping on reply?
28.
by Jet_Xu 2y ago
I've been working on an AI-driven development vision, building on the "System of Agents" concept discussed in the article. The key insight is that to achieve truly automated development, we need AI agents across the entire de
29.
Show HN: LlamaPReview – AI code reviewer trusted by 2000 repos, 40%+ effective(jetxu-llm.github.io)
2 points by Jet_Xu 2y ago|0 comments
30.
Ask HN: Are We Approaching Code Reviews Wrong?
2 points by Jet_Xu 2y ago|0 comments

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