
Devika
Open-source agentic AI software engineer
About Devika
Devika is an open-source AI software engineer that understands high-level human instructions, breaks them into steps, researches relevant information, and writes code to achieve objectives. Built as an alternative to Devin, it supports Claude, GPT-4, Gemini, Mistral, and local LLMs via Ollama.
Pros & Cons
Pros
- Fully open source with MIT license — complete transparency and customizability
- Supports many LLM providers including local models via Ollama for privacy
- Autonomous research and coding pipeline reduces manual effort
- Web-based chat interface makes interaction intuitive
Cons
- Requires self-hosting and technical setup (Python, Playwright, LLM API keys)
- Still in active development — may have stability issues
- Output quality depends heavily on the underlying LLM chosen
- No hosted/managed version available
Key Features
AI Planning & Reasoning
Breaks down high-level objectives into actionable steps with context-aware decision making
Multi-Model Support
Works with Claude 3, GPT-4, Gemini, Mistral, Groq, and local LLMs via Ollama
Automated Web Research
Extracts keywords and browses the web to gather relevant information for coding tasks
Code Generation
Generates code across multiple programming languages based on plans and research findings
Agent State Visualization
Real-time tracking and visualization of the AI agent's planning and execution state
Project-Based Organization
Organizes work into projects for easy management of software development tasks
Browser Interaction
Navigates websites, extracts information, and interacts with web elements using Playwright
Pricing
- All features included
- Multi-model support
- Web research
- Code generation
- Self-hosted
Best For
Autonomous Coding
Describe a feature in natural language and let Devika research, plan, and write the code
Prototyping
Quickly scaffold new projects or features with AI-driven code generation
Code Research
Use Devika's web browsing to research libraries, APIs, and best practices before coding
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