Devika — Open Source AI Software Engineer

What is Devika?

Devika is an open-source AI software engineer that takes high-level instructions and breaks them into steps — planning architecture, researching solutions, writing code, and fixing bugs autonomously. Think of it as an open-source alternative to Devin.

Answer-Ready: Devika is an open-source AI software engineer that autonomously plans, researches, and writes code. It supports Claude, GPT-4o, and local models, with built-in browser research and terminal access. 18k+ GitHub stars.

Best for: Developers exploring autonomous AI coding agents. Works with: Claude, GPT-4o, Gemini, Ollama, local models. Setup time: Under 10 minutes.

Core Features

1. Autonomous Planning

Devika breaks high-level tasks into actionable steps:

You: "Build a weather dashboard with React and OpenWeather API"
Devika:
  Step 1: Research OpenWeather API documentation
  Step 2: Set up React project with Vite
  Step 3: Create weather service module
  Step 4: Build dashboard UI components
  Step 5: Add error handling and loading states

2. Built-In Research

Uses browser automation to research documentation, Stack Overflow, and API references before writing code.

3. Multi-Model Support

4. Web UI

Clean browser-based interface showing:

• Project timeline with each step
• Code editor with syntax highlighting
• Browser research activity
• Terminal output

5. Code Generation

Writes complete, runnable projects — not just snippets:

• Proper project structure
• Dependency management (package.json, requirements.txt)
• Configuration files
• Basic tests

Architecture

User Instruction → Planner Agent → Researcher Agent → Coder Agent → Output
                       ↓                  ↓               ↓
                  Task breakdown    Web research     Code generation
                                   & docs reading    & file creation

FAQ

Q: How does Devika compare to Devin? A: Devika is open-source and free. Devin is a commercial product with more polish. Devika is great for learning and experimentation.

Q: Can it handle real projects? A: Best for greenfield projects and prototypes. Complex existing codebases need more mature tools like Claude Code or Aider.

Q: Is it actively maintained? A: Community-maintained with periodic updates. Check the GitHub repo for latest status.