AI tool

A live, data-driven dashboard that tracks whether AI expansion is still intensifying or starting to cool, using infrastructure spend, data-center power, sovereign commitments, and supply-chain bottlenecks.

A free browser-based tool that claims to detect whether text is AI-generated, with example inputs, inline explanations, and FAQ notes about privacy and local processing.

Open-source local AI character platform that runs with llama.cpp and offers CLI, TUI, and a simple web server for character roleplay without cloud accounts or subscriptions.

A web app that generates product or project ideas by pairing familiar tools with an added agent layer. The page frames it as an idea generator for “copy idea” style prompts, with a simple call to action to pull the lever for a new departure.

A macOS terminal workflow that uses local speech-to-text plus the Pi coding agent to turn spoken requests into shell commands or terminal answers.

Anthropic research report on how people use Claude Code in practice, based on a large privacy-preserving analysis of session data. It covers task types, division of labor between user and model, and how domain expertise affects outcomes.

A blog post describing an evaluation harness for comparing agentic coding tools and prompts across realistic SWE tasks, with token-cost results and model-specific behavior notes.

An open-source Python project that uses a local 7B diffusion language model to make real-time Gymnasium decisions with zero training. The README shows install steps, a code example, and benchmark-style results across several environments.

A shareable report for AI coding usage that summarizes how you work with tools like Claude Code, Codex, and Cursor, with sign-in via GitHub and an option to get printed copies.

LEVI is a harness-first evolutionary framework for code and prompt optimization. It focuses on reducing LLM cost with diversity-preserving search, role-aware model routing, and a proxy benchmark, and presents comparative results against several existing systems.

A custom Iosevka font build inspired by Anthropic Mono, with prebuilt releases and source build instructions.

arXiv paper on distilling multi-agent debate into a single LLM with a two-stage fine-tuning pipeline. The abstract reports lower token use, comparable or better benchmark performance, and an analysis of agent-specific activation subspaces, with code linked from the page.

A blog post describing a small reinforcement-learning agent trained with PPO to play and beat a Pokelike/Pokerogue-style game, including the input representation, model architecture, and training approach.

A detailed tutorial that explains what agent tools are and walks through a basic set of implementation patterns for an AI agent in Python, including bash, file, search, edit, and web fetch tools.

A Codacy blog post explaining GitHub Copilot’s new AI Credits billing for code review and positioning Codacy AI Reviewer as an alternative with fixed per-seat pricing, static analysis, and pull-request review features.

A tutorial showing how to build a release notes generator with the Cline SDK, including project structure, setup, custom tool design, and code walkthroughs.

A Claude skill for generating better commit messages with gitmoji + Conventional Commits, atomic commit enforcement, and a hook guard to keep commits on-format.

A Superconductor blog post showing how background coding agents were used to reproduce, diagnose, and fix a Rails memory leak using derailed_benchmarks, with a reusable Agent Skill workflow included.

A short policy file for the ripgrep project that explains how contributors may use AI tools while contributing, and sets rules for issues, pull requests, and comments.

A detailed article about the internal harness Nimbalyst built around Claude Code and Codex, covering context, provenance, capability, workflow, restraint, verification, visual interface, and coordination.

A GitHub research project that measures how gpt-4.1 responds when asked to pick a random number between 1 and 100, using 10,000 API calls and comparing the results to a uniform baseline.

A detailed write-up about using AI coding agents to build and tune a Rust multi-Paxos consensus engine, with concrete notes on contracts, spec-driven development, testing, and performance work.

AI-driven relationship quiz that maps users into 16 and 32 love type profiles, with compatibility and self-reflection guidance.

A minimal LLM agent packaged as a single HTML file. The README explains how to run it locally, set the LLM host, API key, and model, and use chat("hi") from the browser console.