Claude Code

Claude Code's strength is the loop, not any single feature. Auto mode on by default means you describe a task and the agent reads files, edits them, runs commands, and tests the result without stopping for approval at each step. Dynamic workflows let the plan adapt mid-task rather than following a fixed script, which is what makes multi-file refactors and migrations tractable rather than merely assisted. Parallel agents on the desktop app are the other differentiator. Instead of serializing work into one conversation, you can run several workstreams at once — one agent tracing a bug through logs, another scaffolding a service, a third running the test suite. Cross-session messaging extends this asynchronously, letting separate sessions hand work to each other. Artifacts (June 2026) give sessions generated outputs you can share, so results don't die in a terminal scrollback. Claude in Chrome reaching general availability in August 2026 pushes the same assistant into browser-based work. Control surfaces are unusually deep for a coding agent. Claude.md gives you project-level configuration, and custom skills, subagents, and plugins let you shape behaviour per repository. MCP integration connects external tools and services. For teams, Managed Agents add simulation and outcome tracking, and self-hosted sandboxes provide isolated execution for code you don't want run in place. The costs are real and worth stating plainly. It's terminal-first, so CLI familiarity is a prerequisite, and it's a poor fit for non-developers. It sends roughly 33k tokens of overhead per request — well above alternatives such as OpenCode's 7k — which means the same prompt costs materially more here than elsewhere, and long autonomous sessions compound it. Privacy and security scrutiny has followed the tool into some workplaces, with reported bans at large employers. And if your workflow depends on approving every edit before it lands, the default autonomy is actively wrong for you. Where it fits: large, sprawling repositories, onboarding into unfamiliar code, architecture work that requires reasoning over the whole project. Where it doesn't: inline autocomplete-style speed, tight budgets, air-gapped environments, or teams that want a human gate on each file write.