Tag: Claude

Direct answer: Claude Code is Anthropic’s agentic coding assistant: it reads your repo, runs commands, proposes edits as diffs, and waits for your approval before writing files. Use the terminal CLI (claude), the Desktop Code tab, VS Code or Cursor extensions, JetBrains, or the browser at claude.ai/code. Pick Sonnet 5 for most tasks and Opus 5.5 when the work is genuinely hard; add a CLAUDE.md so you stop re-explaining the project every session.

It works on your tree — files, tests, git, MCP — with permission prompts you control. Stale how-to pages hurt readers and AI citations alike; see GEO case studies for what updates actually move the needle.

Starting a session

From a project folder, run claude in the terminal or open Claude Desktop’s Code tab and choose your project directory. On Desktop you can pick how the session runs:

• Local — runs on your machine with direct file access. Default for day-to-day dev.
• Remote — runs on Anthropic’s infrastructure so long tasks keep going if you close the app.
• SSH — attaches to a remote host over SSH for server or VM work.

No local install? Use claude.ai/code. Resume with claude --continue or claude --resume.

Pick Sonnet 5 for most work and Opus 5.5 for hard refactors. Switch with /model, claude --model, or .claude/settings.json.

What to ask Claude Code to do

Give concrete tasks tied to real paths. Use @src/file.ts mentions to pull files into context without pasting walls of text.

Pipe diffs or logs into claude -p for CI-style checks. Schedules and parallel sessions are covered in Anthropic’s common workflows guide.

How Claude Code makes changes

By default Claude asks before editing files or running shell commands. You see the diff, accept, reject, or redirect. Plan mode (claude --permission-mode plan or Shift+Tab in the CLI) lets Claude explore and propose without touching disk until you approve.

That review step is the safety rail — read diffs on production branches even when the model is confident. In CI or disposable containers only, teams sometimes use permission-skipping flags; don’t run those on your daily driver machine.

CLAUDE.md and team instructions

Add CLAUDE.md at the repo root (generate a starter with /init) for stack, test commands, style rules, and directories that are off limits. Claude also reads AGENTS.md if you already use that convention for other coding agents. Commit shared rules in .claude/settings.json; keep personal overrides in .claude/settings.local.json.

# CLAUDE.md (short example)

## Stack
Python 3.11, FastAPI, PostgreSQL, pytest

## Conventions
Type hints on public functions; no bare except

## Do not modify
legacy/ — compatibility shim only

Skills, hooks, and MCP extend the same core — see the overview doc for setup.

Common workflows

Debugging: Paste the stack trace, name the command that fails, ask for root cause plus a minimal fix.

Refactoring: State the end state (“extract billing into a service module”) and constraints (“no API breaks”).

Tests: Point at the file and the test folder; ask for edge cases, then “run tests and fix failures.”

Code review: “Review this branch for security, error handling, and CLAUDE.md violations.” Use /review or parallel subagents on large trees.

Documentation: Docstrings, README architecture sections, or internal runbooks — same approval flow as code.

Tips that actually stick

• Start small. One file you know well before you delegate a multi-module refactor.
• State constraints once. “No new dependencies,” “match existing test style,” “Windows-compatible paths.”
• Keep conventions in CLAUDE.md. If you typed it twice, file it.
• Review every diff. Models drift; your git history shouldn’t.
• Use Remote or web for long jobs; /compact when context bloats.
• Measure citations after you refresh public guides — AI citation monitoring and LLM visibility measurement.

Plan and rate limits sit with your seat tier — see Claude Code pricing: Pro vs Max. Tool comparisons: Claude vs GitHub Copilot and Claude Code vs Windsurf.

Tygart Media AI setup — Claude Code, CLAUDE.md, MCP, and team workflows configured end to end.

Frequently Asked Questions

Claude Desktop is Anthropic’s native app for Mac and Windows — a dedicated application that brings Claude out of the browser and into your system, with features that aren’t available in the web interface. It’s free to download for all plan types, including the free tier.

What Claude Desktop Includes

The Three Tabs: Chat, Cowork, and Code

Claude Desktop is organized around three modes. Chat is general conversation — identical to claude.ai but accessible from your dock without opening a browser. Cowork is an autonomous background agent that works on tasks in a cloud VM while you do other things — research synthesis, file organization, document generation, spreadsheets. Code is Claude Code with a graphical interface — an interactive coding assistant with direct access to your local project files, where you review and approve each change in real time.

What Makes Desktop Different From the Web

The practical differences over using claude.ai in a browser:

• Always accessible — lives in your dock, reachable from any app via hotkey without switching contexts
• Screenshot capture — take a screenshot and immediately ask Claude about what’s on screen
• Desktop extensions — connect to local files, your filesystem, calendars, email, and native Mac/Windows apps that web connectors can’t reach
• Claude in Chrome — let Claude control your browser directly from the desktop app
• Cowork background tasks — long-running autonomous tasks that continue while you work on something else
• Claude Code integration — work directly with your local codebase without copying files

How to Download and Install

1. Go to claude.ai/download
2. Download the appropriate installer — macOS PKG, Windows x64, or Windows ARM64
3. Run the installer — on Mac, drag to Applications; on Windows, run the setup file
4. Launch from your Applications folder (Mac) or Start menu (Windows)
5. Sign in with your Anthropic account

Linux is not currently supported. The app requires macOS or Windows.

Desktop Extensions

Desktop extensions are installable packages that connect Claude to your local tools — similar to browser extensions but for native applications. They give Claude access to your local file system, calendars, email, messaging apps, and other native applications that web-based connectors can’t reach. Browse and install extensions in Settings → Extensions after installing the app.

Syncing Across Devices

Your conversations, projects, memory, and preferences sync across Claude Desktop, the web interface, and the mobile app when you’re signed in with the same account. Start a session in the desktop app, continue on your phone, pick it back up on the web — the context travels with you.

For the Claude Code-specific features in the desktop app, see How to Use Claude Code. For a comparison of Desktop vs. the web interface for everyday use, see Claude AI Login: All Platforms and Apps.

Frequently Asked Questions

Claude is genuinely good at coding — and for specific types of development work, it’s the strongest AI coding assistant available. But the honest answer requires separating what it does well from where it has real limits. Here’s the actual assessment from someone running Claude across real production systems daily.

Where Claude Excels at Coding

Complex, multi-constraint code generation

Give Claude a detailed spec — specific patterns, error handling requirements, naming conventions, library preferences — and it holds all of them through a long response better than alternatives. Other models tend to drift from earlier constraints partway through. For production code where the specifics matter, Claude’s instruction adherence is a real advantage.

Debugging non-obvious errors

On tricky bugs where the error message points somewhere unhelpful, Claude is more likely to trace the actual root cause rather than addressing the symptom. It’s willing to say “this is probably caused by X upstream” and follow the logic chain. That kind of reasoning saves hours on complex debugging sessions.

Working across large codebases

Claude’s 200K token context window means it can hold significant portions of a codebase in context simultaneously. Understanding how a change in one file affects another, tracking architectural patterns across multiple files, maintaining awareness of project-wide conventions — Claude handles this better than models with shorter context windows.

Code review and security analysis

Claude is strong at finding security vulnerabilities, missing error handling, and logic errors. Give it the code and ask it to review specifically for security issues — SQL injection, authentication gaps, hardcoded credentials — and the findings are reliable and specific. See the full code review guide for prompts and examples.

Claude Code: Agentic development

Claude Code — Anthropic’s terminal-native coding agent — operates autonomously inside your actual codebase. Reading files, writing code, running tests, managing git. For autonomous development work, this is a qualitatively different capability from chat-based code assistance. See Claude Code pricing for tier details.

Claude’s Coding Benchmarks

On SWE-bench — the industry benchmark for real-world software engineering tasks — Claude has performed strongly relative to competing models. Claude 3.5 Sonnet’s performance on this benchmark in 2024 attracted significant developer attention. The current Claude Sonnet 4.6 continues that trajectory.

Benchmarks don’t capture everything — real-world tasks have context, requirements, and edge cases that synthetic benchmarks miss. But they’re a useful signal, and Claude’s performance on coding-specific benchmarks is consistently competitive.

Where Claude Has Coding Limits

Interactive code execution: Claude doesn’t run code interactively in the web interface by default. ChatGPT’s code interpreter lets you upload a CSV and get Python-generated charts in the same window. Claude can reason about data and write code that would do the same, but won’t execute it in-chat. Claude Code handles actual execution in a development environment.

Very specialized frameworks: For niche or rapidly evolving frameworks where training data is sparse, Claude may have less confident knowledge than it does for established technologies. Always verify generated code for less common libraries.

Business logic without context: Claude can generate technically correct code but can’t know your business domain’s rules without you providing them. The more context you give about what the code needs to do and why, the better the output.

How to Get the Best Coding Results From Claude

Frequently Asked Questions