Top Coding AI Agents

An AI code assistant from Sourcegraph that writes code and answers questions for you by reading your entire codebase and the code graph.

Welcome to the AI Driven Software Development Automation Solution, abbreviated as DevOpsGPT. We combine LLM (Large Language Model) with DevOps tools to convert natural language requirements into working software. This innovative feature greatly improves development efficiency, shortens development cycles, and reduces communication costs, resulting in higher-quality software delivery.

OC AI based Compiler, for converting english based markdown specs, into functional code "We know that all great™ projects start with awesome™ detailed functional specifications. Which is typically written in English, or its many other spoken language alternatives. So what if, instead of writing code from functional specs, we simply compile it directly to code? Into a future, where we replace nearly everything, with just written text."

GOT Migrate easily migrates your codebase from one framework or language to another. Pick from different LLMs Ability to allow GPT Migration to generate and run unit tests for the new codebase Ability to select source and target language of the migration Ability to customize the agent's workflow (setup -> migrate -> test) GPT Migrate team is working on adding [benchmarks](https://github.com/0xpayne/gpt-migrate#-benchmarks) for the agent

A minimalistic library for building agents that leverage large language models to automate tasks through a loop of commands and tool integrations. Executing Python code in a REPL environment. Conducting searches on Google and Hacker News. Iterating through a cycle of Thought, Action, Observation, and New Thought based on the output of integrated tools. Dynamically appending new information to the prompt for informed decision-making by the agent.

Pezzo is a development toolkit designed to streamline prompt design, version management, publishing, collaboration, troubleshooting, observability and more "Whether you are a technical person or a stakeholder, you can use Pezzo effectively. We don't believe that AI prompts should be designed in a developer's code editor. Aside from the technical issues with this approach, it blocks productivity." Features Centralized Prompt Management: Manage all AI prompts in one place for maximum visibility and efficiency. Streamlined Prompt Design, Publishing & Versioning: Create, edit, test and publish prompts with ease. Observability: Access detailed prompt execution history, stats and metrics (duration, prompt cost, completion cost, etc.) for better insights. Troubleshooting: Effortlessly resolve issues with your prompts. Time travel to retroactively fine-tune failed prompts and commit the fix instantly. Cost Transparency: Gain comprehensive cost transparency across all prompts and AI models. Simplified Integration: Reduce code overhead by 90% by consuming your AI prompts using the Pezzo Client, regardless of the model provider.

WorkGPT is an agent framework in a similar fashion to AutoGPT or LangChain. You give it a directive and an array of APIs and it will converse back and forth with the AI until its directive is complete. For example, a directive could be to research the web for something, to crawl a website, or to order you an Uber. We support any and all APIs that can be represented with an OpenAPI file. WorkGPT now has OpenAI's new function invocation feature baked into it While chaining together APIs was possible before (see AutoGPT), it was slow, expensive, and error prone [The tweet announcing this feature](https://twitter.com/maccaw/status/1669367224694607875)

broadn is a no-code platform that helps non-technical people build AI products in minutes. We're faster and more flexible than traditional no-code tools through an LLM powered conversational interface and an agent architecture that automates complex backend/workflow operations Features Conversational interface LLM/AI model connectors (text, image models, etc) Create bespoke chatbots Render UI components Connect to external data via APIs

Generating meaningful tests for busy devs Exploring and analyzing your code, docstrings, comments, and by interacting with you Non-trivial tests (and trivial, too!) suggested right inside your IDE Generates tests Covers edge cases Best practice, readability code suggestions Gives you the code explanation It is free

Comprehensive job search Accurate job recommendations based on your skills, experience, and preferences AI-powered auto-applications

in alpha encode works with you and your team to get work done demo: https://encode.software/demo </details>

In aplha stage It’s not supposed to be just another coding copilots like GitHub Copilot or Codeium, but autonomous agents capable of autonomously building software from end to end

A suite of AI-powered capabilities for #DevSecOps workflows A toolbox of features integrated into the DevSecOps Platform to help teams across the entire software development environment become more efficient Examples of what GitLab Duo can do: Planning refinement Security risk resolution CI/CD pipeline health Analytics charting.

GitWit uses a GPT-based agent to generate code and git to track changes made to files GitWit ties together large language models and modern developer tools It can spawn and modify codebases using just a single prompt GitWit is primarily aimed at full-stack developers, and is particularly loved by those with a learning mindset—such as those learning a new stack or technology It is in early beta and may require some experimentation with the prompts you enter You are offered to choose from code bases: React + NextJS Python using pip A Chrome extension written in JavaScript An AngularJS using npm. Custom stack </details>

Grit uses machine learning and static analysis to auto-generate pull requests for cleaning up technical debt Users can declare how they want their code to be structured and let Grit rewrite it for them

Features AI Autocomplete Production Quality Code with One Click Prompt driven development Test Generation (coming soon)

Migrate frameworks such as Angular to React, libraries such as Redux to React Context, or languages such as JavaScript to TypeScript Perform major version upgrades on any number of applications, of any size Upgrade frameworks such as Next.js 12 to 13, libraries such as MUI 4 to 5, or languages such as Python 2 to 3 Target users: enterprise codebases [Roadmap](https://second.canny.io/)