CLAUDE CODE

A new Vera paper tests Codex, Claude Code, OpenClaw, and Hermes with executable safety cases. The useful lesson is not panic. It is evidence-grounded agent QA.

A fair comparison of AI-assisted test generation tools for coding agents - what they generate, where they plug into your workflow, and which claims to verify yourself before trusting the output.

A fair comparison of running Claude Code, OpenAI's Codex CLI, Gemini CLI, and opencode in non-interactive CI pipelines: invocation flags, sandboxing, auth, and output formats.

Claude Code, Claude Desktop, Cursor, VS Code, Zed, and opencode all speak MCP differently. Here is how their transport, auth, and tool-limit support compares.

A controlled study of 660 Claude Code trials shows clean codebases reduce token usage by 7-8% and file revisitations by 34%, while pass rates stay the same. Traditional maintainability principles still matter in the age of AI coding.

A new SonarSource study finds clean code doesn't boost agent pass rates - but it cuts token usage by 8% and file revisitations by 34%. Here's what that means for your codebase.

Apple's Safari MCP server lets AI coding agents inspect pages, capture screenshots, evaluate JavaScript, and run accessibility checks directly in Safari. Complete setup guide with installation, available tools, and practical workflows.

Claude Code and Codex both ship great agents and terrible transcripts. AgentCanvas is a visual adapter that puts the artifacts, decisions, and handoffs on one board so the next agent and the next human can see them.

Vendor claims of 10x productivity are not verified by real data. Here is the framework enterprises use to measure actual returns from Claude Code, Cursor, Copilot, and agentic coding workflows - with benchmarks, cost models, and the metrics that matter.

MCP makes tools callable by agents. That solves invocation. It does not solve visibility. The next agent and the next human still need to see what the tool calls produced, and a transcript is the wrong place for that.

A Show HN project claims large agent-cost cuts by rendering bulky context as images. The useful lesson is not the trick itself. It is that compression needs evals, byte-safety rules, and per-request accounting.

A companion guide to the Nimbalyst video: an open-source visual workspace that runs Codex and Claude Code from your existing subscriptions, with a Kanban board, a planning workflow, and AI commits. Here is what it does and where it fits.

A hosted infinite canvas your headless AI agents drive over MCP. Any MCP-speaking agent - Claude Code, Codex, Cursor, or a script - creates HTML docs, images, and video on a live canvas, streamed in as it builds.

A developer reverse-engineered Claude Code and found hidden markers that classify users by timezone, domain, and API keywords - using unicode apostrophe swaps and date format changes.

A developer fed 266MB of DICOM MRI data to Claude Code Opus for a second opinion on a shoulder diagnosis. The AI disagreed with the doctor. HN radiologists weighed in.

Grok Build is xAI's agentic CLI with 8 parallel subagents, a plan-first workflow, and Arena Mode for competing outputs. Installation, pricing, real commands, and how it compares to Claude Code and Codex.

Claude outages and 529 overloads expose whether your AI coding workflow has checkpoints, receipts, model-switch paths, and small enough task slices to survive provider degradation.

A GitHub-trending library of Anthropic cybersecurity skills points at the next agent security layer: framework-mapped playbooks that need provenance, tests, and abuse boundaries before they become trusted runtime tools.

A new layer is forming around Claude Code, Codex, Copilot CLI, and local memory tools: the local coding agent workspace. It is not the model. It is the bench where agents get supervised.

OpenMontage is trending because it treats video production like a repo-shaped agent workflow: scripts, assets, render pipelines, review loops, and coding agents working across the whole process.