🤖 LLMs - deglon · Scour

Multilingual jailbreaking of LLMs using low-resource languages 🛠️Prompt Engineering

Auriko – One API to easily switch LLM models and reduce inference cost 🤖AI

betalist.com·5d

Learnings from 100K lines of Rust with AI (2025) 🛠️Prompt Engineering

news.ycombinator.com·12h·Hacker News

tokenspeed — feel LLM tokens-per-second 🛠️Prompt Engineering

mikeveerman.github.io·3h

bhauman/clojure-mcp-light: Simple Clojure tooling for AI coding assistants 🛠️Prompt Engineering

github.com·6h·r/functionalprogramming

LLM Tool Calling 🛠️AI Tools

dsebastien.net·2d

My local LLM can call Claude when it's stuck, and it changed everything about my local-first setup 🛠️Prompt Engineering

xda-developers.com·3d

If an LLM is too expensive it won't be next year ♟️Game Theory

liveatthewitchtrials.blogspot.com·9h·Hacker News

The Best Open Source and Open-Weight LLM Models to Run Locally in 2026 🛠️Prompt Engineering

huggingface.co·2d

Genomic Report Drafting Market Powered by Large Language Models (LLM): Analysis of Future Demand and Leading Key Players Through 2030 🤖AI

openpr.com·17h

Claude Tutorial for Beginners Learn with Real Use Cases ⚡AI Applications

Proof-reading, with a bit of help from LLMs 🛠️Prompt Engineering

logicmatters.net·3d

The David and Goliath Paradigm: Comparing Small and Large Language Models 🤖AI

hpcwire.com·8h

MagnoApi - i built a Memory Context API that gives memory to llms 🛠️Prompt Engineering

magno-memory-api-production.up.railway.app·1d·Hacker News

From Skills Back to Tools: Why Our Dashboard Assistant Moved Off the Claude Code SDK 🛠️AI Tools

blog.promptlayer.com·13h·Hacker News

Your LLM Is a New Intern Every Morning 🛠️Prompt Engineering

contrarianvalueedge.substack.com·4d·Substack

memv ships an MCP server — OSS memory layer for agents, now usable from any MCP client 🛠️Prompt Engineering

vstorm-co.github.io·1d·r/mcp

Karpathy-Inspired CLAUDE.md. How to Add It to Any Project in 30 Seconds 🛠️Prompt Engineering

alphasignalai.substack.com·6h·Substack

MukundaKatta/agenttrace-rs: Cost + latency aggregation for LLM agent runs. Group calls into named runs, get totals, p50/p95, and per-model breakdowns. Composes with cachebench. 🛠️Prompt Engineering

github.com·2h·DEV

An Experiment Put LLMs in Charge of Radio Stations. You’ll Never Guess How It Went ♟️Game Theory

lemmy.world·2d

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