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GPT Pilot

AI developer companion that builds production-ready apps step-by-step

AI Code Assistants & Autocomplete

GPT Pilot is an AI-driven developer assistant that writes, debugs, and documents full applications, integrating with VS Code or via CLI, and supports Python, SQLite, and PostgreSQL backends.

Overview

Overview

GPT Pilot is an AI‑driven developer companion that collaborates with you to create production‑ready Python applications. It can generate code, run debugging sessions, write documentation, and manage database setup, all from a VS Code extension or a simple command‑line interface.

How it works

The system orchestrates a chain of specialized agents—Specification Writer, Architect, Tech Lead, Developer, Code Monkey, Reviewer, Debugger, and Technical Writer—to break down a project description into tasks, implement each step, and verify the output. Configuration is handled through a config.json file where you select an LLM provider (OpenAI, Anthropic, or Groq), set API keys, and choose between SQLite (default) or PostgreSQL. After launching python main.py, the generated project lives in a workspace folder, ready for you to review, test, and deploy.

Highlights

Multi‑agent workflow that iteratively writes, reviews, and debugs code
VS Code extension plus standalone CLI for flexible interaction
Supports OpenAI, Anthropic, and Groq LLM providers with configurable endpoints
Automatic dependency installation and optional PostgreSQL support

Pros

  • Generates substantial code automatically, reducing manual effort
  • Interactive debugging and review agents catch errors early
  • Configurable LLM and database choices
  • Works within familiar IDE or terminal

Considerations

  • Requires Python 3.9+ and proper LLM API keys; setup can be involved
  • Currently limited to a single project branch
  • Output quality depends on the chosen LLM model
  • Focused on Python ecosystem; not language‑agnostic

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Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.

Fit guide

Great for

  • Solo developers seeking AI assistance for rapid prototyping
  • Teams experimenting with AI‑augmented development workflows
  • Projects built with Python, SQLite or PostgreSQL
  • Users comfortable editing JSON config and environment variables

Not ideal when

  • Non‑Python projects or languages without built‑in support
  • Production environments requiring strict compliance without human review
  • Teams needing multi‑branch version control out of the box
  • Scenarios with limited internet access to LLM APIs

How teams use it

Prototype a CRUD web app in minutes

AI writes the full stack, sets up database, and provides documentation, leaving the developer to review and deploy.

Add a new feature to an existing Python service

Developer describes the feature; GPT Pilot generates code, runs tests, and integrates it into the project.

Generate boilerplate for a microservice architecture

Architect agent selects technologies, installs dependencies, and scaffolds service skeleton ready for customization.

Debug and refactor legacy code

Debugger and Reviewer agents identify issues, suggest fixes, and rewrite problematic sections automatically.

Tech snapshot

Python65%
TypeScript28%
JavaScript5%
Smarty1%
CSS1%
Shell1%

Tags

codegenaicoding-assistantresearch-projectdeveloper-toolsgpt-4

Frequently asked questions

What languages does GPT Pilot support?

Currently it is designed for Python applications; other languages are not supported out of the box.

How do I provide my LLM API key?

Set the key in `config.json` under the chosen provider or export it as an environment variable; the tool will read from there if the field is null.

Can I use GPT Pilot without the VS Code extension?

Yes, the same functionality is available through the command‑line interface (`python main.py`).

Is PostgreSQL optional?

SQLite is used by default; PostgreSQL can be enabled by installing `asyncpg` and `psycopg2` and updating `db.url` in `config.json`.

How does GPT Pilot handle code review?

A dedicated Reviewer agent checks each generated step and routes problems back to the Code Monkey agent for correction before proceeding.

Project at a glance

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