GPT Engineer

Pricing model
GitHub
Upvote 0
GPT Engineer is a code generation tool that allows users to define their desired project, with the AI asking for details before constructing it. It's created to be straightforward and easily adaptable, extendable, and capable of learning user preferences for code appearance. The tool generates a complete codebase from a prompt and includes features like identity customization, seamless transitions between AI and human, and persistent, resumable computation.

Similar neural networks:

Freemium
Upvote 0
AI Code Snippets is a resource that utilizes AI technology to assist developers in creating a personal library of secure code snippets. It includes functionalities like code generation, refactoring, debugging, and smart code completion. Users can also share their snippets with team members and produce natural language explanations to enhance code readability. Furthermore, the tool provides three subscription options to cater to varying user requirements.
GitHub
Upvote 0
SWE-agent is a software engineering tool that uses language models, like GPT-4, to autonomously fix bugs and issues in actual GitHub repositories. It does this by leveraging an Agent-Computer Interface (ACI) to simplify the interactions between the language model and the repository's codebase, which enables the model to browse, view, edit, and execute files more efficiently. With advanced performance in issue resolution, SWE-agent can be highly advantageous for developers seeking to automate debugging, boost productivity, and cut down the time spent on fixing software project bugs. Individuals may want to utilize it to improve the efficiency of their software development processes and take advantage of AI's growing capabilities in code generation and problem-solving within real-world coding environments.
Freemium
Upvote 0
Lightning.AI is a platform designed for creating, training, and launching AI products. It offers pre-assembled, customizable, modular components to simplify the AI development process, minimize cloud expenses, and mitigate risks. With Lightning.AI, users can rapidly deploy AI products in a matter of days instead of months, while taking advantage of enterprise-level security and support. The platform also features an AI Apps Gallery, Components Gallery, along with AI education, forums, Slack, GitHub, a blog, and additional resources.