code assistant

GitHub Blog article on reducing token usage and API cost in agentic coding workflows, including logging token usage, removing unused MCP tools, replacing GitHub MCP with GitHub CLI, and measuring efficiency gains.

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.

A PHP framework built around the Action-Domain-Responder pattern, with a small core and an emphasis on code that humans and agents can both follow.

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 showcase of nine classic demoscene effects implemented across thirteen languages, with pixel-identical output and side-by-side code comparison. It presents the code next to the rendered effect and highlights optimization steps, framed as a project built by an organization of AI agents.

A GitHub engineering article describing how the Copilot team ported a large production runtime to Rust with Copilot’s help, including the migration strategy, interop, caching, static analysis, and model selection.

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.

A GitHub Blog case study showing how three Java Champions use GitHub Copilot to speed up development while keeping human review in the loop.

A talk transcript and write-up on using LLMs to prioritize vulnerability research at scale, with references to two open-source tools: Slice for build-free static analysis and Raink for O(N) listwise ranking.

Cotyper is a coding agent/devtool aimed at fast iteration and working over existing GitHub projects. The page positions it as faster than Codex and lists supported tools including Claude Code and Codex, plus a GitHub connection flow.

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 Linear engineering write-up on speeding up CI for an AI-accelerated development workflow, with concrete changes to runners, checkout, test sharding, and setup costs.

A C# library for parsing codebases and generating source code with deterministic scripts, aimed at making AI-assisted code review and PRs easier.