If you're looking for an AI-powered platform to help engineering teams automate tedious work, Cognition is a top contender. Cognition's Devin is a completely autonomous AI software engineer that collaborates with human engineers to tackle complex engineering projects, remembering context, learning over time and correcting its own mistakes. Devin can create and deploy applications, debug them, train AI models and respond to GitHub issues, so it automates grunt work and frees engineers to concentrate on more complicated problems.
Another top contender is Abacus.AI, which lets developers create and run applied AI agents and systems at large scale. Abacus.AI features include ChatLLM for creating end-to-end RAG systems, AI Agents for automating complex processes, predictive systems for forecasting and anomaly detection, and more. The platform is designed to automate complex work and orchestrate processes, making it easier for companies to add AI to their apps.
For managing big enterprise codebases, Second is another AI engineering platform worth a look. It makes things like migrations and code reviews easier with features like automated migrations, codebase intelligence and dedicated tenant deployments for better security. Second is designed to automate 95% of each project, dramatically accelerating completion and cutting costs.
Last, n8n is an extensible and secure AI-native workflow automation tool geared for technical teams. It's got a visual workflow editor, support for JavaScript and Python, and more than 400 integrations. It's very scalable and secure, so it's good for automating lots of tasks and processes in big organizations.