What is Claude Code?
An agentic coding tool from Anthropic that runs in the terminal with access to your whole repository. It can read and edit files, run commands and tests, and be extended with subagents, skills, hooks, and MCP servers.
Claude Code, used seriously.Beyond autocomplete.
Claude Code is an agentic coding tool that works across a whole repository from the terminal. Used well it changes how work gets planned and shipped. Used carelessly it produces a large volume of code nobody understands.
THE SHORT ANSWER
Claude Code in plain terms.
Claude Code is Anthropic’s agentic coding tool. It runs in the terminal, reads and edits across an entire codebase, runs commands, and can be extended with custom subagents, skills, hooks, and MCP servers. The teams that get value from it invest in configuration and review discipline, not just prompting.
- 01
Terminal-native and repository-aware rather than a single-file editor plugin
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Extensible through subagents, skills, hooks, and MCP servers
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Capable of running commands, tests, and git operations as part of a task
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Most effective when the repository has clear conventions written down
THE SETUP GUIDE
How to set this up properly.
The difference between teams that get compounding value out of Claude Code and teams that abandon it is almost entirely setup. These are the things worth doing first.
- 01
Write the project conventions down
A project instruction file describing structure, conventions, and commands is the highest-leverage thing in the repository. Without it, every session re-derives context and drifts from house style.
- 02
Let it plan before it edits
For anything non-trivial, get the approach agreed before code is written. Reviewing a plan takes a minute; reviewing a large wrong diff takes an hour.
- 03
Give it a way to verify its own work
Tests, a type check, a linter, a build command. An agent that can run the verification loop will catch its own mistakes. One that cannot will hand you confident, broken code.
- 04
Use subagents for parallel, independent work
Separate contexts for separate concerns (review, research, migration) keeps each one focused and prevents a single context from filling up with unrelated detail.
- 05
Connect MCP servers for real context
MCP lets the tool reach your actual systems (databases, issue trackers, monitoring, documentation) instead of guessing. This is usually where the step change in usefulness comes from.
- 06
Keep review non-negotiable
Volume of generated code goes up sharply. Review standards must not go down. The failure mode is a codebase nobody on the team can explain.
What usually goes wrong.
These are the failures worth designing against before they happen, rather than diagnosing afterwards.
No written project conventions, so output drifts from house style every session
Accepting large diffs without reading them because they look plausible
No test or type check for the agent to verify against
Letting one context accumulate unrelated work instead of splitting the task
Skipping the planning step on changes that touch several systems
Treating generated code as reviewed code
OR HAVE IT DONE
You do not have to build this yourself.
We set teams up on Claude Code: conventions, custom agents, MCP integrations, and the review discipline that keeps quality from sliding.
Talk through your setup- 01
Repository conventions and project instruction files
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Custom subagents and skills for your recurring work
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MCP server integration with your existing systems
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Custom MCP server development where nothing suitable exists
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Hooks for formatting, linting, and type checking
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Team workflow design and review standards
Common questions.
How is it different from an autocomplete assistant?
Autocomplete suggests the next lines in the file you are in. Claude Code works at the task level across the repository: it can plan a change, edit several files, run the tests, and iterate on failures.
What is MCP and why does it matter here?
The Model Context Protocol is a standard way to give the tool access to external systems: databases, issue trackers, monitoring, documentation. It matters because it replaces guessing about your systems with reading from them.
Does it replace code review?
No, and treating it as though it does is the most common way teams get into trouble. It increases the volume of code produced, which makes review more important rather than less.
RELATED
The rest of the stack.
These pieces are usually decided together. Getting one right rarely helps if the one underneath it is fragile.
- 01
Hermes Agent
Hermes Agent setup, hosting, memory and skill review, and ongoing operation on infrastructure you own.
- 02
OpenClaw
OpenClaw gateway setup, channel access, credential scoping, and ongoing operation on infrastructure you own.
- 03
n8n Automation
n8n workflow design, self-hosting, error handling, and ongoing management.
Want this running without doing it yourself?
Tell us what you are trying to automate and what you have already tried. You will get a straight answer on the smallest responsible next move, including when the answer is to leave it alone.
Request a systems review