code assistant

Pu.sh is a lightweight coding-agent harness delivered as a shell script. The page shows a direct install-and-run flow, a no-dependency setup, and links to GitHub, docs, and an MIT license.

Hawkeye is a developer tool for fast local code search and navigation across large codebases, with editing, focused replace, tabs, shortcuts, and Perforce support.

A public visualization that tracks flagship AI models’ Elo history over time using the Arena AI Leaderboard dataset, with notes on caveats and methodology.

A browser-based fake video meeting with AI-generated coworkers, voice triggers, and draggable participant tiles. The page shows meeting controls, camera-off avatar options, and a visible meeting room ready to join.

Real-time signal engine and MCP server for AI agents, quantitative workflows, and climate risk pipelines. The page highlights native MCP tools, live data ingestion, and a structured wire format aimed at reducing token usage.

A vLLM blog post explaining Semantic Router as an open serving-layer runtime for bounded micro-agents, with routing patterns like Confidence, Ratings, ReMoM, Fusion, and Workflows behind a single model API.

GitHub’s research preview on multi-model orchestration for coding tasks. The page describes adaptive workflow selection and includes benchmark comparisons against the Opus 5 baseline with estimated cost reduction claims.

A playable text-adventure that teaches Claude Code through real prompts, skills, and agent workflows.

An in-depth Medium post from IronBee about how a verification loop affects AI coding agents, using Web-Bench and comparing DeepSeek with Claude Opus on a real web app task.

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.

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.

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 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 Hacker News front page clone that filters out AI-driven content and shows the remaining posts in a familiar HN layout.

A framework for adapting software delivery to AI-native workflows, with stages for proof of concept, prototype, executable specification, implementation, evaluation, and retrospection.

A technical write-up about using Claude to reverse engineer Drobo’s macOS protocol and build a replacement driver, CLI, and companion app for newer macOS versions.

Kota is a macOS app for bringing AI agent CLIs into one place, presented as “a home for your agents and projects.” The page shows a download for Apple Silicon, GitHub access, docs, and feature sections around working with CLI-based agents.

Minimio is a browser demo for tiny learned controllers that discover, compile, and verify microscopic AI agents for bounded decision-making, shown here solving 2D mazes with different maze types and sizes.

AnswerJournal is an MCP server and web app for saving, publishing, and browsing AI answers. The page positions it as a place to keep notable Claude responses and share them with others.

A public slide deck about vLLM-compile, a project focused on bringing compiler optimizations to LLM inference and speeding up torch.compile for vLLM workflows.

An experimental coding editor that uses persistent pseudocode prompts to generate and regenerate code with AI.