A growing number of engineering teams are ditching Markdown for HTML when writing specs — not because they enjoy writing more verbose documents, but because HTML’s semantic structure gives AI agents significantly richer context when implementing from a spec. Here is where the tradeoff makes sense and how to do it well.
Claude Code v2.1.129 shipped quietly on May 6. For most users it’s invisible. For Bedrock enterprise shops, MCP server operators, and anyone using third-party model gateways, it changes real behavior — and one change is a deliberate reversal of v2.1.126.
Outcomes and Multiagent orchestration moved to public beta on May 6. This is the practical guide to deploying self-verifying, multi-agent workflows in production — including how to write rubrics that actually work, the 20-agent coordinator limit, and what Netflix built with it.
Claude Code Review went GA on May 6: a multi-agent system that dispatches parallel bug-finders, runs a verification pass to cut false positives, and lands a single high-signal comment on your pull request. It costs $15–25 per review, is billed separately from your plan, and is available on Team and Enterprise only. Here is how the architecture works, what the performance numbers say, and how it stacks up against /ultrareview, Cursor Bugbot, Greptile, and CodeRabbit.
CLAUDE.md is the single highest-leverage file in any Claude Code project — and the most-misunderstood. This is the comprehensive guide: what to put in it, what NOT to put in it, the structure that compounds over time, and the security model that prevents CVE-2026-21852-style supply-chain attacks.
Skills, plugins, and MCP servers are the three ways to extend Claude Code — and they look similar enough that engineers routinely pick the wrong one. This is the reference: what each one is, when to reach for it, what they cost, and the failure modes nobody warns you about.
Version 2.1.126 ships four practical upgrades: a /model picker that reads your gateway’s model list, a project purge command for clean state management, OAuth paste mode for headless environments, and an Auto mode that tells you when it’s stuck.
Direct answers to the questions developers actually ask about Claude Code in 2026 — plans, models, installation, CLAUDE.md, auto mode, MCP, parallel agents, cost, enterprise, security, and how it stacks up against Cursor, Copilot CLI, and Gemini CLI.
Writing specs instead of code is the core premise of SDD — but a bad spec produces bad code just as reliably as a bad prompt does. Here’s what separates specs that AI can execute reliably from the ones that waste hours of compute and your afternoon.
Most engineers still think of AI coding as an advanced autocomplete. They’re missing the paradigm shift. Agentic coding is fundamentally different — the AI plans the work, writes the code, runs the tests, fixes the failures, and iterates until the task is done.