Claude Code is a layered agentic coding tool, not a single chat prompt. This guide breaks down 25 features, from CLAUDE.md, skills, subagents, and hooks to MCP and Auto Mode. It includes a comparison table, working code examples, real use cases, and an interactive demo you can try.
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The report highlights AI's growing role in execution, yet underscores the enduring necessity of human expertise for strategic planning.
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Many AI agent systems become economically unsustainable long before they become technically impressive. Teams usually focus on model choice, prompt design, tool calling, and orchestration. Those things matter, but they are only part of the system setup. The deeper issue is that coding agents, such as Claude Code, Codex, and Jules, make agent workflows easier […]
A detailed look at MCP that turned my scattered tool definitions into a stable, discoverable server
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Claude Code is a genuinely good agent builder. You describe what you want, it reasons through the problem, picks tools, and ships working code. For greenfield projects against well-documented libraries, the experience is close to magic. Where it gets harder is the same place every coding agent struggles: building on a specialized platform with its...
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The following article originally appeared on Sena Evren’s Legal Layer newsletter and is being reposted here with the author’s permission. TL; DR Agentic coding tools like Claude Code, Cursor, and Codex generate code that may be uncopyrightable, owned by your employer, or contaminated by open source licenses you cannot see. Some of this is settled […]
Z.ai launched GLM-5.2 on June 13, 2026, across every GLM Coding Plan tier. The headline is a usable 1-million-token context window plus High and Max effort levels. It drops into Claude Code, Cline, and OpenClaw through an Anthropic-compatible endpoint. No benchmarks shipped at launch, and MIT open weights are promised next week.
The post Z.ai Launches GLM-5.2 With a Usable 1M-Token Context, Two Thinking-Effort Levels, and No Benchmarks at Launch appeared first on MarkTechPost.
Databricks has open-sourced Omnigent, a meta-harness that sits above coding agents like Claude Code, Codex, and Pi. It adds composition, contextual policies, and live session sharing under one interface, on terminal, web, desktop, and mobile. The Apache 2.0 project is in alpha.
The post Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi appeared first on MarkTechPost.