Cosine AI is an autonomous AI software engineer that integrates into development workflows to handle complex coding tasks end-to-end. It connects to GitHub repositories and tools like Jira, Linear, and Slack to process tickets, generate plans, write code, run tests, and create pull requests. Powered by the Genie 2 model, Cosine achieves 72% on the SWE-Lancer benchmark for 237 real-world tasks valued at $236k and 30% on SWE-Bench, outperforming models from OpenAI and Anthropic in production-grade scenarios.
The platform supports multi-agent execution where tasks break into subtasks with dependencies. Users describe changes in natural language, and Cosine clarifies ambiguities asynchronously. It indexes codebases for semantic understanding, mapping file relationships and functions. Integrations include VS Code extension for inline assistance, CLI for terminal-based operations, and AutoDoc 2.0 for maintaining documentation tied to code commits.
Key functionalities cover bug fixes, feature additions, refactoring, and test generation. The CLI accesses local environments to execute builds and scripts directly. Users queue multiple tasks for parallel processing, reviewing results later. Free plan limits to 80 tasks across 100 projects; paid plans scale to 240 tasks per seat with team support up to 100 users.
Competitors include Cursor for editor-focused autocompletions and Aider for chat-based edits, but Cosine excels in full autonomy and async handling. Users appreciate the reduction in context switching and backlog clearance. Limitations involve initial setup for integrations and occasional need for prompt refinement to match exact requirements.
External reviews from Product Hunt and Reddit highlight productivity gains in large codebases, with 4.8/5 ratings based on 11 responses. A VentureBeat article notes its human-like reasoning in complex tasks. For implementation, connect repositories first, start with simple bugs, and iterate on feedback loops to optimize outputs.