What you can do with Claude Code

The shift isn't just about writing code faster — it's about the type of problem you can tackle.

Why it matters: Tasks that previously required hours of manual effort — writing comprehensive test suites, migrating to a new framework, translating an entire codebase — become single prompts. Claude handles the tedious execution while you focus on design and architecture decisions.

Category 1 — Code tasks:

+Write and run tests for any module, then fix failures automatically+Refactor a function, class or entire module to a new pattern+Migrate from one library/framework to another (e.g., Express → Hono)+Fix bugs: describe the symptom, Claude traces the root cause and patches it+Review code for security issues, performance problems or style violations+Add types to a JavaScript codebase, convert CommonJS to ESM

Category 2 — Git and project workflow:

+Stage, commit and push with an automatically generated meaningful message+Create pull requests with description, labels and reviewers+Resolve merge conflicts by understanding both sides of the diff+Generate changelogs and release notes from git history+Triage and close stale issues with automated comments

Category 3 — Automation and CI/CD:

+Pipe any command output to Claude for analysis and action+Run in headless mode (-p flag) for CI/CD pipelines — no interactive terminal needed+Monitor logs and trigger alerts when anomalies appear+Run scheduled jobs: nightly database cleanup, weekly dependency audits+Translate i18n strings, resize images, generate API docs — all as CLI scripts

Category 4 — External tool integration via MCP:

MCP (Model Context Protocol) lets Claude Code connect to external systems. Once connected, you talk to them in natural language:

+GitHub — search issues, create PRs, review code+PostgreSQL / MySQL — query databases, generate migrations+Slack — send alerts, post summaries to channels+Jira — create tickets, update status, triage backlogs+Figma — inspect designs and generate component code+Sentry — read error reports and trace them to source code

"Write tests for the auth module, run them, and fix any failures" — Claude Code executes all three steps, iterating until all tests pass. You describe the goal; it figures out the steps.

1# Pipe any output to Claude for analysis:
2tail -f app.log | claude -p "alert me if you see any 500 errors"
3git diff main --name-only | claude -p "review these files for security issues"
4cat package.json | claude -p "find outdated dependencies and create a PR to update them"

1# MCP integration — connect your tools:
2claude mcp add github    # Issues, PRs, code search
3claude mcp add postgres  # Query databases directly
4claude mcp add slack     # Send messages and alerts
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6# Then use them naturally in conversation:
7> "check Sentry for the top 5 errors this week and create GitHub issues for each"
8> "find all users in postgres who signed up today and send a summary to #growth in Slack"

What Claude Code is not great at:

+Real-time collaboration (it works sequentially, not simultaneously with you)+Tasks with no clear definition of "done" — vague prompts produce vague results+Replacing your judgment on architecture decisions — it executes well, but you still design+Working in massive repos with millions of files without guidance on where to look

The sweet spot: tasks that are well-defined, repetitive or tedious — where the bottleneck is execution, not thinking.

Write down one task you repeat every week that involves code — generating a report, updating a config, writing tests for new endpoints. Keep it specific. At the end of this course you'll come back and automate it.

What is the key difference between Claude Code and traditional AI coding assistants?