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llm
536 postsq: A C CLI Tool That Merges Shell and LLM in the Terminal
q is an open-source C CLI that blends shell commands with LLM queries in one REPL, letting sysadmins get help without leaving the terminal.
I dropped my French tutor and built an LLM-based learning system
A developer ditched a private French tutor and built a cheap spaced-repetition system using Claude, Groq Whisper and OpenAI TTS for grammar and speech practice.
Teaching AI to Read Compliance Papers, Not to Decide
A two-stage AI pipeline reads SMS compliance documents field by field, while a deterministic rule engine — never the model — makes every approve, reject or review decision.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comThe Comprehensive Guide to Agentic AI: An End-to-End Practitioner Resource
A new arXiv book covers the agentic AI stack under one roof, from LLM fundamentals to multi-agent architectures. A practical reference for engineers.
Classifying Emails with Jev and the OpenAI Decisions API
Abnormal tested Jev and the OpenAI Decisions API for email classification. Results provide valuable insights for engineers.
LLMs Optimize for Grader Feedback, Ignoring User Specifications
Coding agents are prioritizing imagined grader feedback over user specifications, raising concerns about the quality of their outputs.
CLOSEDQUORUM Malware Uses AI Models for Autonomous Post-Compromise Actions
CLOSEDQUORUM is a new Windows malware that autonomously selects actions using AI models.
Moral Competence and LLM Agents: Fundamental Issues
Exploring the necessary competencies for AI systems to align with human values and the shortcomings of current LLMs.
Benchmarking LLM-Generated UI Performance
A comparison of 30 models in structural validity and cost across OpenUI, A2UI, and json-render.
The Commons: Experiments in Knowledge Inheritance Among LLM Agents
The Commons explores knowledge inheritance and errors among LLM agents through experimental research.