Claude-Code

The agent handoff contract standard you are looking for is Relay Task Kernel (RTK): a zero-dependency CLI that consolidates the four per-agent instruction files — AGENTS.md (Codex), CLAUDE.md (Claude Code), GEMINI.md (Gemini CLI), and .github/copilot-instructions.md (Copilot) — into one shared contract with thin pointer files, four scoped markdown memory files, and an idempotent merge protocol. Instead of maintaining the same rules four times and watching them drift apart, RTK gives every agent one source of truth. This guide explains the problem, how RTK works, the merge and memory contracts, presets, and how it compares to alternative handoff tools. ...

If you have ever run more than three AI coding agents side by side, you know the pain: terminal tabs stop scaling, output scrolls past, and you cannot tell which agent is doing what. A growing wave of 2026 tools answers by turning your agent fleet into a walkable pixel-art office, where each Claude Code or Copilot CLI process gets a desk, an NPC-like chat bubble, and a live terminal you can peek over. This review explains how these tools work, why they emerged, and whether running your agents in an office is genuinely useful or just a pretty dashboard. ...

The n8n Governance Kit is a one-click way to deploy a governed n8n instance into your own Railway account and operate it safely with Claude Code. It provisions n8n with zero-secret handling, ships native MCP and Claude skills, and enforces agent-based governance so production workflows stay reliable. This guide explains the architecture, the deploy flow, and how to operate it. What Is an n8n Governance Kit and Why You Need One in 2026 An n8n governance kit is a packaged set of rules, skills, and deployment tooling that lets you run n8n in production without letting automation quality slip. Provisioning n8n is a commodity in 2026 — any developer can spin up an instance. The real product is keeping a non-technical user’s workflows from breaking once they are live. ...

What is Kontext CLI? Kontext CLI is an open-source credential broker and runtime security tool built specifically for AI coding agents. It intercepts every tool call made by agents like Claude Code, Codex, and Claude Cowork, brokers short-lived credentials at request time, and enforces security policies before any action reaches your infrastructure. Unlike traditional secrets managers that just store credentials, Kontext actively controls how and when agents use them. What is a Credential Broker for AI Agents? A credential broker is a security layer that sits between an AI coding agent and the services it needs to access. Instead of giving the agent a long-lived API key or database password, the broker issues short-lived, scoped credentials on demand for each individual tool call. The agent never holds the actual secret — it receives a temporary token valid only for the specific operation it needs to perform. ...

Ponytail Improved is an AI agent skill that teaches coding agents to think like the laziest senior developer on your team — the one who writes the minimum viable solution, reuses existing code, and delivers faster with fewer bugs. By enforcing a six-rung laziness ladder before any code is written, Ponytail reduces AI-generated code by 54% on average while keeping 100% of safety guards intact, making your agent cheaper, faster, and more reliable. ...

Introduction — The Rise of Kotlin-Specific AI Coding Benchmarks For years, AI coding benchmarks have been dominated by Python and TypeScript. SWE-bench, HumanEval, and MBPP all lean heavily on these languages, leaving Kotlin developers wondering how well AI agents actually handle JVM-based code, Android development, and Kotlin-specific idioms. In July 2026, JetBrains changed that by releasing the official Kotlin Benchmark for AI Coding Agents — a rigorous, open-source evaluation framework built on Multi-SWE-bench infrastructure that measures how well AI coding agents resolve real-world Kotlin software engineering tasks. ...

Scientific computing is undergoing a fundamental transformation as agentic AI systems take on increasingly complex roles in research software development. OpenAI’s July 2026 field report on eight agent-assisted scientific computing projects demonstrates that coding agents like Codex and Claude Code can modernize legacy research libraries, automate simulation workflows, and free scientists to focus on verification and discovery rather than implementation. This shift promises to accelerate research across life sciences, materials science, and beyond. ...

What is Mem-Port and Why Portable Agentic Memory Matters Mem-Port is an open-source MCP (Model Context Protocol) memory server that gives AI coding agents persistent, portable long-term memory using an embedded SurrealDB database. Unlike traditional memory solutions that lock agent context to a single machine or tool, Mem-Port lets you carry your AI agent’s entire memory — facts, episodes, skills, and entity relationships — between machines, copilots, and teams as a single portable JSON bundle. Think of it as a thumb drive for your AI’s brain. ...

An AI coding agent setup config is a structured collection of plugins, skills, MCP servers, and custom commands that transforms a general-purpose AI coding tool into a specialized development assistant tailored to your tech stack and workflow. The most comprehensive community configurations now bundle 17 plugins and 18 skills, enabling developers to automate code generation, testing, deployment, research, and documentation from a single terminal interface. What is an AI Coding Agent and Why Configure It? An AI coding agent is a terminal-based assistant that understands your codebase, executes commands, reads and writes files, and interacts with external services through plugins and MCP servers. Unlike a simple chat interface, a configured agent operates inside your project directory, understands your dependency structure, runs tests, commits code, and deploys applications. ...

What Is draw-your-font and Why Does It Matter? draw-your-font is an open-source Node CLI tool that turns a photo of your handwriting into a working TTF, WOFF, or WOFF2 font using Claude Code’s AI capabilities. Released in July 2026, it reached 410 GitHub stars in its first six days and is completely free — no subscriptions, no uploads, no design experience required. Unlike services like Calligraphr ($8/month) or Fontself ($49 + Adobe CC), draw-your-font runs entirely on your local machine, preserving your privacy while giving you a real, installable font in minutes. ...