Coding Agents

Grok 4.6 lands in GitHub Copilot across eight coding surfaces

Anthropic lets Claude Code run daily maintenance on its own apps

Anthropic is running an experiment in which Claude Code performs daily maintenance on the company's own software, and the results are already measurable. Across the first few weeks, the system opened 388 pull requests and had 180 merged after review, a roughly 46 percent acceptance rate. Boris Cherny, the Anthropic engineer who created Claude Code, described the setup in a LinkedIn post. Through Anthropic's internal Tag integration, Claude runs a set of scheduled routines every day inside a de

Meta Ships Muse Code Coding Agent and Muse Spark 1.2 Model

Meta released Muse Code, a terminal-based coding agent, alongside Muse Spark 1.2, the model that powers it. The pair was co-trained to perform best together, with Muse Spark 1.2 showing significant gains on coding benchmarks compared to its predecessor. Muse Code runs as a command-line agent that handles multi-file software engineering tasks. It uses persistent background subagents that stay active across a session rather than spawning fresh for each task, which Meta says reduces latency on com

Meta Enters the AI Coding Wars with Muse Code and Muse Spark 1.2

Meta has launched Muse Code, a terminal-based AI coding agent now in beta, alongside Muse Spark 1.2, a coding-focused update to its proprietary frontier model family. The two releases put Meta in direct competition with Anthropic's Claude Code, OpenAI's Codex, and the growing field of agentic coding tools that have become the default way many developers ship software. Muse Code is installable on macOS or Linux with a single curl command, though it requires a Meta account and billing details. Un

AI Coding Agents Now Write 99 Percent of Code at Some Shops. The Bills Are Piling Up.

At Kilo Code, engineers write code themselves 1% of the time. VB Transform 2026 panel shows agentic coding is the default -- and the token bills are piling up.

OpenAI report shows coding agents cutting science software runtimes

OpenAI has published a field report documenting eight scientific computing projects where coding agents reduced software runtimes and modernized legacy codebases. The report covers projects in genomics, immunology, statistics, and RNA sequencing. Five of the projects used OpenAI's Codex autonomously, while three used a combination of Codex and Anthropic's Claude Code. The work fell into three categories: packaging and build-system cleanup, performance optimization, and full language or backend