The AI workspace built for engineers who ship.
Software engineers use AzelaAI to write better code faster: compare GPT-4o vs Claude for code review, upload codebases as context, and use Agent Swarm to automate multi-step debugging.
Compare models for your specific coding task
Claude 4 tends to excel at code review and refactoring with detailed explanations. GPT-4o is strong at architecture and system design. Llama 3 is fast and excellent for boilerplate generation. With Compare Mode, you can see all three answers to the same coding question and pick the best — in seconds.
Upload your codebase as context
Create an AI Project, upload your architecture docs, README, key files, or a compressed codebase snapshot. Every conversation in that project has your actual code as context. Ask 'How should I refactor the auth module to support OAuth?' and get answers specific to your system, not a generic tutorial.
Agent Swarm for complex engineering tasks
Example: 'Review this pull request, identify security vulnerabilities, suggest performance improvements, and draft a PR comment.' Agent Swarm runs a Security Agent, a Performance Agent, and a Writing Agent in parallel — returning a complete code review in under 2 minutes.
What engineers automate with AzelaAI
Writing unit tests and documentation. Generating boilerplate for new services. Debugging error traces with multi-model reasoning. Drafting PR descriptions and commit messages. Reviewing infrastructure-as-code for best practices. Converting code between languages. Explaining legacy code before refactoring.
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