GPT‑OSS 20B – Local AI Development Assistant

Try the assistant in your browser

Smart Coding

The assistant generates complete code snippets, templates, and boilerplate in a variety of languages, directly from natural‑language prompts.

Python

Generate a REST API in FastAPI with authentication.

JavaScript

Build a React component with hooks and context.

Create a concurrent server with goroutines.

Debugging Companion

Identify root causes, suggest fixes and produce minimal reproducible examples.

Stack traces

Explain error messages and suggest line‑level fixes.

Unit tests

Spot failing assertions and suggest corrections.

Performance

Pinpoint bottlenecks and recommend optimisation.

Elegant Refactoring

Suggest improvements for readability, maintainability and SOLID principles.

Clean Code

Rename variables, extract methods, remove duplication.

Design Patterns

Propose relevant patterns and refactor accordingly.

Code Style

Apply consistent linting and formatting.

Testing & Test Generation

Generate unit, integration and acceptance tests from specifications.

Unit Tests

Provide Jest, PyTest or JUnit examples.

Mocking

Suggest mock objects and stubs.

Coverage Reports

Explain coverage metrics and improve gaps.

Security Reviews

Analyse code for common vulnerabilities, suggest mitigations and provide secure coding guidelines.

OWASP Top 10

Identify XSS, CSRF, injection risks.

Dependency Scanning

Check for vulnerable packages.

Audit Logging

Recommend secure logging practices.

Documentation Generation

Create markdown, HTML or Javadoc from code and comments.

Readme

Generate comprehensive project readme.

API Docs

Produce Swagger/OpenAPI specs.

Wiki

Build internal knowledge base.

Software Architecture Support

Analyse codebases, suggest micro‑services, domain‑driven design and technology stacks.

DDD

Propose bounded contexts and entities.

CI/CD

Suggest pipeline configurations.

Cloud Deployment

Recommend Kubernetes or serverless setups.

Integrating with Your Workflow

The assistant runs locally, so all data stays on your machine. It can be hooked into:

Version control: git hooks that auto‑generate commit messages or pull‑request descriptions.
Terminal: A lightweight CLI wrapper that forwards commands to the model.
IDE extensions: Stand‑alone web UI that can be embedded in VS Code, JetBrains or Atom.
Web tools: REST API endpoints that your web server can call for code generation or linting.

Built‑in abilities use the local model. Tool‑assisted abilities rely on external services (e.g. package registries, static analysis tools) but are optional and opt‑in.

Limitations: The model is knowledge‑cutoff to 2023, it cannot execute code, nor access external networks. Accuracy depends on prompt quality. Use as a helper, not a replacement for rigorous testing and human review.