For an AI tool that can automate complex engineering tasks and collaborate with human engineers in real-time, Cognition is a great option. Cognition's Devin is a fully autonomous AI software engineer that works alongside humans on complex projects. It can learn new technologies, build and deploy applications, debug code and even train and fine-tune AI models. Devin is particularly good at automating mundane tasks, letting engineers focus on higher-level challenges.
Another option worth considering is Abacus.AI, which lets developers create and run applied AI agents and systems at scale. It applies generative AI and neural network technology to large language model apps and AI agents that can automate complex processes and span multiple data sources. Abacus.AI can handle real-time forecasting, anomaly detection and predictive modeling, which means it can be used to automate and augment engineering work.
If you're looking for something that cuts down on repetitive work and helps you collaborate better, check out Adept. Adept offers general intelligence technology that can navigate software complexity, which means small teams can bring big ideas to market. It can handle tasks like generating reports and creating graphics within existing software, and is designed to reduce bias and ensure practical and safe general intelligence. With research into higher-level planning and visual reasoning, Adept has the potential to dramatically improve engineering workflows.