Reachability in Analog and AMS. Innovation in Verification
semiwiki.com·4h
🛡️AI Safety
Nextdoor's 'NEXT' Platform May Provide High Upside, But Also Comes With High Risks
seekingalpha.com·10h
🚀Startups
cloudflare breaking my quartz navigation
blog.avas.space·10h
🧩Web Components
Data Rescue Project Portal, United Nations History, Google, More: Thursday ResearchBuzz, June 26, 2025
researchbuzz.me·5h
📡RSS
Show HN: AI-gent Workflows – locally reasoning AI Agents
ai-gents.work·5h·
Discuss: Hacker News
🆕New AI
Cosmoe: New C++ toolkit for building native Wayland apps
theregister.com·22h·
Discuss: Hacker News
🔓Open Source Software
LLM Code Review Maven Plugin
github.com·2h·
Discuss: Hacker News
🐑Ollama
Simplicity, Agility, and Agency
articles.pragdave.me·5h·
Discuss: Hacker News
👨‍💻Software development practices
Type wizards, I summon you! (need help with function with array of heterogeous elements)
reddit.com·11h·
Discuss: r/typescript
📘Typescript
Programming as Theory Building: Why Senior Developers Are More Valuable Than Ever
cekrem.github.io·6h·
Discuss: r/node, r/programming, r/reactjs, r/typescript
👨‍💻Software development practices
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.org·13h
🛡️AI Safety
12-Factor Agents - Principles for building reliable LLM applications: What are the principles we can use to build LLM-powered software that is actually good eno...
github.com·8h·
Discuss: r/programming
🪄Prompt Engineering
Models, datasets and benchmarks to pay attention to:
threadreaderapp.com·17h
🏆LLM Benchmarking
You're still the engineer (using coding agents effectively)
mike.gg·22h·
Discuss: Hacker News
🪄Prompt Engineering
Show HN: I built a cloud on my own ASN w real 1:1 compute to fight the cartels
infuze.cloud·22h·
Discuss: Hacker News
🖥GPUs
Why Should AI Review Your Code? Can writer be reviewer also?
getpanto.ai·10h·
Discuss: Hacker News
👨‍💻AI Coding
AI Copilots for Reproducibility in Science: A Case Study
arxiv.org·13h
🎯Qdrant
Eclipse Foundation releases Jakarta EE 11
infoworld.com·7h
🔓Open Source Software
In RAG systems, who's really responsible for hallucination... the model, the retriever, or the data?
reddit.com·2h·
Discuss: r/LocalLLaMA
🔄LLM RAG Pipelines
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
arxiv.org·13h
🔍Information Retrieval