What is Claude Code? How Anthropic AI's developer tool works and how to use it
Claude Code is an AI-powered programming assistant developed by Anthropic that uses the capabilities of Claude AI models to support software development tasks.
AI code generation tools have developed extremely rapidly in recent years, and an increasing number of companies are exploring how they can assist developers with their work. Claude Code has become particularly well-known because it operates far more independently than traditional AI code completion tools and is capable of carrying out multi-step development tasks.
In our article, we will present what Claude Code is, how it works, for what tasks it can be used, how it differs from other AI development tools, and what its advantages and limitations are in a corporate environment.
What is Claude Cowork, and what does Claude Code mean?
The name Claude Cowork often appears in searches related to Claude Code, however, Anthropic officially uses the name Claude Code for its developer tool. The system is built on the Claude AI models and can integrate into various development environments and tools via the Claude API. It does not function as a simple chatbot but is directly integrated into the development process.
While many AI tools primarily suggest code snippets or auto-complete code, Claude Code can do much more. It understands project structure, can modify multiple files simultaneously, and can also assist with debugging, running tests, and creating documentation.
The system can be used:
- Via the command-line interface (CLI): a full-featured command-line interface where the developer can work directly in the project directory
- From VS Code: can be installed as a native extension, so it can be accessed without leaving the editor
- From JetBrains IDEs also available as native integration (IntelliJ, PyCharm, WebStorm etc.)
- From GitHub Actions: can also be integrated into automated CI/CD processes
- With a routines function: Scheduled or event-based tasks can be run on Anthropic infrastructure – they will run even if the developer's machine is turned off.
How does Claude Code work in practice?
To use Claude Code, a Claude subscription or an Anthropic Console account is required. The tool then works based on natural language instructions. The developer describes what they want to accomplish, and the system attempts to execute the necessary steps.
For example, a developer might give the following instruction:
„Fix the login module bug and add tests for it!”
Claude Code will then:
- identifies the relevant files
- analyses the existing code
- modifies the necessary components
- generates appropriate tests
- executes those tests
This is a significant difference compared to traditional AI code completion tools, which typically only suggest short code snippets.
What can Claude Code be used for in software development?
Claude Code isn't just for simple code completion: it supports developers in many areas of the development process, from automated code writing to debugging, right up to documentation generation.
Code writing and prototyping
Claude Code can create new features, simpler modules, or API endpoints. This can be particularly useful for:
- rapid prototyping,
- when developing an MVP,
- when automating repetitive tasks,
- or when developing internal tools.
Debugging
The system is also suitable for identifying errors and problems. It reviews the project code, attempts to identify problematic parts, and can suggest improvements.
Refactoring
Claude Code can also help with modernising or refactoring older code. For example:
- in making old modules cleaner,
- switching to TypeScript,
- simplifying more complex code structures.
Test writing
At many development teams, testing is sidelined due to a lack of time. Claude Code can automatically generate tests for existing code, which can help improve long-term maintainability.
Documentation creation
The system can also be used to generate documentation:
- README files,
- API descriptions,
- comments,
- or to prepare technical summaries.
How does Claude Code differ from other AI development tools?
Among AI coding assistants, several well-known solutions now exist, such as GitHub Copilot or Cursor.
The biggest advantage of Claude Code is its ability to work more independently than traditional AI code completion tools, and it also supports more complex development tasks.
While many AI tools primarily work based on the current file, Claude Code can understand the entire project code and its context.
This can be particularly valuable in the case of:
- for larger projects,
- complex debugging,
- or modifications affecting multiple files
The table below briefly summarises the key differences between Claude Code, Cursor and GitHub Copilot.
CAPABILITY | GitHub Copilot | Cursor | Claude Code |
|---|---|---|---|
Main function | Code completion | AI-powered development environment | Autonomous AI development assistant |
Project visibility | Current file only | Multiple files | Entire codebase |
Can it handle multi-step tasks? | Limited | Partly | Yes |
Can it run tests? | Not typical | Partly | Yes |
Terminal usage | No | Limited | Yes |
Primary strength | Fast code completion | AI-powered development | Handling more complex development tasks |
What are the advantages of Claude Code?
One of Claude Code's greatest strengths is its ability to speed up and simplify certain parts of the development process.
Faster development
By automating repetitive tasks, developers can devote more time to solving more complex problems. This is supported by real-world examples: Ramp reduced incident resolution time by 80%, Wiz migrated a 50,000-line Python library to Go in ~20 hours (which was originally estimated to take 2–3 months), and Rakuten shortened the time-to-market for new features from 24 working days to 5 days.
An overview of the entire project
Claude Code can analyse the context of the entire project code, not just a single file.
Easier integration
The system can be integrated into several popular development environments, so it is not necessary to create an entirely new workflow to use it.
It supports the developer work
Claude Code greatly assists developers:
- by speeding up their work,
- reducing repetitive tasks,
- and helping to catch errors earlier.
Who is Claude Code recommended for?
Claude Code is primarily intended for developers and development teams, but it is also useful for organisations that want to speed up development processes and reduce the amount of repetitive tasks.
The system is easy to use:
- at startups and SaaS companies,
- within internal development teams,
- in large-scale corporate development projects,
- and in environments where rapid prototyping, debugging, or automated documentation is important.
It can be particularly advantageous for teams that:
- work with large codebases,
- carry out regular refactoring,
- write large numbers of tests,
- plan to introduce AI-based development tools,
What are the limitations and risks?
Although Claude Code can make developers' work easier in many areas, it's important to be aware of the system's limitations.
The generated code may also be incorrect
Code generated by Claude Code is not always perfect. It may occur that:
- malfunction,
- not an optimal solution,
- or a security problem as well.
Therefore, developer verification remains essential.
Data privacy concerns
The system can access project files and certain development environments, so for sensitive corporate systems, it's important to clarify:
- what data the system processes,
- how that data is handled,
- and what security provisions are in place.
The quality of the project also matters
Claude Code's performance is significantly dependent on how well-structured and documented the project code is. It may yield weaker results for chaotic or poorly built systems.
Does Claude Code replace developers?
No. Claude Code is currently considered more of a development assistant tool rather than full automation.
The system can:
- speed up development,
- automate certain tasks,
- help debugging,
- and support the creation of documentation.
Architectural decisions, understanding business logic, and critical review still require human expertise.
How should it be introduced at an organisational level?
The corporate implementation of Claude Code is not merely a technical issue: data protection, authorisation management, and how the development team uses the AI tool in their daily work all play an important role.
For most organisations, it is worth starting with a gradual introduction, testing the system on lower-risk projects.
1. Launch of a pilot project
As a first step, it is advisable to choose development tasks that:
- clearly defined,
- they do not affect critical systems,
- and are easier to check.
For example:
- documentation creation,
- test generation,
- creation of internal developer tools,
- automating smaller refactoring tasks.
This allows the team to gain real experience using Claude Code without affecting sensitive business systems.
2. Clarification of privacy and security terms
As Claude Code can access project files and certain development environments, it is important to clarify in advance:
- What data does the system process?,
- how that data is handled,
- and what security provisions are available in a corporate environment.
It is advisable to review the implementation from an IT security and legal perspective, particularly for sensitive or confidential systems.
3. Setting permissions and approvals
Claude Code can be used with various access and approval levels. It can be defined, for example:
- What files can you access?,
- What operations can it perform automatically,
- and which steps require developer approval.
In the initial period, it is generally advisable to start with stricter settings.
4. Developing the team's training
The effective use of AI development tools is becoming a standalone skill. It is important for developers to be aware:
- with the limitations of the AI tool,
- the importance of checking the generated code,
- how to write effective prompts for the system.
5. Gradual Expansion
If the pilot project is successful, the use of Claude Code can be gradually extended to more complex projects and larger development processes.
For most companies, a gradual, controlled rollout represents the safest approach.
Anthropic Claude Code FAQ
We have collected the most frequently asked questions regarding the use and operation of Claude Code below.
What is the difference between Claude and Claude Code?
Claude is a general AI assistant that can primarily be used for text-based conversations and content creation. Claude Code, on the other hand, is specifically designed for developer tasks: it can analyse project code, modify files, debug, and run tests.
What programming languages does Claude Code support?
Claude Code can be used with a number of popular programming languages, such as:
- Python,
- JavaScript,
- TypeScript
- Java,
- Go on,
- Rust,
- C#
- and for PHP as well.
The best results are generally provided for widely used languages.
Is it safe to use on a secure corporate codebase?
Claude Code can access project files and development environments, so it's worth reviewing the privacy and security terms before enterprise use. For sensitive systems, it's advisable to examine the implementation from an IT security and legal perspective.
How long does it take to onboard a development team?
This depends heavily on the team size and the existing development process. For smaller teams, it can be tested in a matter of days or weeks, while for larger organisations, a phased rollout may take longer.
Is programming knowledge required to use it?
Yes. Although Claude Code can be operated in natural language, basic developer knowledge is required to check the generated code and recognise errors.
Can Claude Code's thoroughness be controlled?
Yes. Claude Code has a three-tier „effort” setting: it can operate at low, medium, and high levels. At a low level, it provides faster responses optimised for simpler tasks, and at a high level, it performs more thorough, multi-step analysis. The level can be adjusted depending on the nature of the task.
Conclusion
Claude Code represents a new generation of AI-based development tools. It operates much more independently than traditional AI code completion tools and can support more complex development tasks.
When used correctly, it can speed up the development process, aid in debugging, and reduce the burden of repetitive tasks. However, it does not replace developer expertise – rather, it acts as an AI assistant that supports modern software development work.
Introducing AI development tools in a corporate environment
If your organisation is planning to introduce AI-powered tools or would like to develop a well-founded AI strategy, we offer a complimentary consultation as part of our AI consulting service. Get in touch with us and let’s work together to develop a solution aligned with your organisational goals.
