Claude Code Review: A Hands-On Look at Anthropic's Coding Agent

Claude Code is Anthropic's terminal-based coding agent, and after using it across several real projects — a mid-size TypeScript app, a Python data pipeline, and a legacy refactor — the picture is clear: it's genuinely strong at multi-step reasoning across a codebase, and its main limitations are the same ones affecting every agentic coding tool right now: trust, scope creep, and cost at scale.

Setup and First Impressions

Claude Code runs from your terminal rather than a dedicated IDE, which is a deliberate design choice. It works with whatever editor you already use, reading and writing files directly and running shell commands as part of its workflow. There's a learning curve if you're used to inline IDE suggestions — Claude Code is closer to pairing with a very capable junior engineer who can run commands than an autocomplete tool.

Codebase Understanding

This is where Claude Code stood out most. Given a task like "add rate limiting to the API layer," it explored the relevant files, identified the existing middleware pattern, and produced a change that matched the codebase's existing conventions rather than introducing a new pattern. That consistency — respecting existing architecture instead of overriding it with a generic solution — was noticeably better than what we've seen from autocomplete-style tools working file-by-file without full context.

Permissions and Trust

Claude Code asks for permission before running commands that modify files or execute scripts, and you can configure how much autonomy to grant. Early on, we kept permissions tight and approved every file write individually — tedious, but it built confidence in what the agent was actually doing. After a few sessions, we relaxed permissions for read-only exploration while keeping approval gates on writes and shell execution, which struck a reasonable balance between speed and safety.

Multi-Step Refactors

The clearest differentiator versus lighter-weight assistants was handling of longer refactors — for example, migrating a set of components from one state management pattern to another across a dozen files. Claude Code planned the sequence, worked through files methodically, and flagged files it wasn't confident about rather than guessing silently. That flagging behavior matters: silent overconfidence is the most dangerous failure mode in agentic coding tools, and Claude Code errs toward asking rather than assuming.

Where It Falls Short

• Cost adds up fast on long sessions with large context windows, especially for exploratory tasks that read many files before writing anything.
• Test coverage still matters enormously — the agent's confidence in a change is not a substitute for your test suite catching regressions.
• Very large monorepos occasionally hit context limits that require more manual scoping of which directories to work in.

Comparison Snapshot

How It Fits Among Coding Assistants

Claude Code sits in a different category from IDE-integrated tools — for a direct comparison against agentic IDEs, see our Windsurf vs Cursor breakdown, and for habits that make any of these tools more effective, our AI pair programming tips piece is worth reading alongside this review. Broader context on the category is in AI coding assistants.

Bottom Line

Claude Code is one of the strongest options available for agentic, multi-file coding tasks, particularly refactors and features that require understanding existing architecture rather than bolting on something generic. It's not a replacement for careful review and a solid test suite — treat it as a capable collaborator that still needs oversight, not an autonomous engineer.