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Anthropic's Claude Code tool will now read an AGENTS.md file when a project lacks a CLAUDE.md file. This lets developers who already use the AGENTS.md convention for agent instructions get compatible behavior from Claude Code without creating a duplicate configuration file.
A new open-source tool called Orbital stores an AI coding project's context—goals, decisions, and in-progress files—locally rather than inside a single agent's session. This lets developers switch between tools like Claude Code, Codex, and Cursor mid-task without re-explaining prior work, and setup takes under five minutes using an existing API key.
Scry is a new search-over-the-web service built for AI agents, exposed through the Model Context Protocol as well as a direct HTTP API. Developers connect tools like Claude Code, Codex, or Cursor to a single MCP endpoint, authenticate via OAuth or an API key, and query a rolling crawl of high-information web pages using a SQL-like interface. The service also introduces congestion-based pricing tied to usage load.
Anthropic has rebuilt the 'projects' concept inside Claude Code, giving cloud-based sessions persistent threads, shared memory, and the ability for Claude to coordinate multiple parallel work streams on its own. The upgrade is initially limited to select Pro and Max subscribers using cloud sessions who have no existing projects, while local, terminal-based workflows are excluded from the new system entirely.
Anthropic has relaunched Projects within Claude Code, letting developers run several AI coding agents simultaneously in the cloud. Each agent operates as an independent session on its own branch and repo copy, with a coordinator organizing the parallel work. Any conflicting changes between threads are resolved through standard merge conflict handling, just like a typical pull request.
Anthropic is merging its Claude Cowork tool with Claude Chat, leaving users with just Claude Chat and Claude Code instead of three separate modes. The rollout begins with Pro and Max subscribers over the coming weeks, and the update also brings new Claude Docs and Claude Slides features plus Claude Design integrated directly into conversations.
Anthropic announced it is merging its separate Claude Cowork and Claude Design features directly into the main Claude chatbot experience, accessible from the prompt bar. Users can now select Docs, Slides, or Design options while typing a prompt instead of switching between separate tabs, while Claude Code remains a standalone tool. The update also introduces dedicated Docs and Slides widgets that let users generate and share files as links, PDFs, or PowerPoint downloads.
Researchers built Paper2Agent, a system that converts a scientific paper and its accompanying codebase into a functional MCP server accessible through an AI agent interface. It uses a multi-agent architecture built on Claude Code's agent SDK, with a central orchestrator directing specialized sub-agents through a six-step process covering repository discovery, environment setup, tutorial scanning, and execution auditing.
A new open-source tool called Panel lets developers run an AI agent alongside a research workspace containing chat, files, PDFs and Jupyter notebooks. The agent, currently built on Claude Code, can generate its own custom viewer panes on request when existing panels can't display something, and can run a literature review tool. It's an early-stage build requiring Node, pnpm, uv and a signed-in Claude Code CLI to run locally.
A new benchmark called Real-SWE evaluates frontier AI coding models against tasks drawn from real, private production codebases licensed from actual companies, including billing, tax and customer-migration work. Top performer Fable 5.1 running on Claude Code resolved 38.8% of tasks, followed by GPT-6 Astra and Gemini 3.8 Flash, with several other models trailing well below that mark.
Graphify C# is a free, MIT-licensed headless indexer built on Roslyn and MSBuild that extracts semantic relationships from C# codebases, including caller-callee links, interface implementations, inheritance and overrides. Unlike text search, it resolves exact symbol bindings across overloads, generics and multiple projects, producing structured data that coding agents like Codex or Claude Code can query directly instead of guessing from string matches.
RTK, a popular tool with over 79,000 GitHub stars that compresses terminal output before AI coding agents read it, has been marketed as a way to cut AI coding costs, with one viral post claiming up to 60% token savings. But independent benchmark testing using Terminal-Bench 2.1 across 1,740 task attempts found mixed results: costs dropped 5% for one model setup but rose 5% for another, contradicting the widely shared savings figures.