Since the popularity of GitHub Copilot, there have been more than 30 AI agents for developers just to streamline programming. Each agent has its unique focus and capabilities, catering to the diverse needs of developers.  

Here is a list of six agents that developers can use to automate their code, clean bugs, write documentation, streamline pull requests and handle other repetitive tasks.

Sweep.ai

Sweep is a junior AI developer that processes bug reports and feature requests by reading the codebase, planning changes, and generating pull requests. For bugs, it identifies issues, plans modifications, and proposes code fixes. In the case of small features, it determines what needs to be added or enhanced and swiftly generates the corresponding pull request. 

What’s unique about Sweep is its ability to streamline the development process by directly translating issues into pull requests without relying on an IDE. Additionally, Sweep engages with the developer community by addressing replies and comments on its pull requests. It utilises embedding-based code search to reference both the repository and external documentation for more efficient decision-making.

Grit.io

Grit is a developer tool aiming to streamline software maintenance. It comprises a web interface enabling the creation of pull requests via automated end-to-end migrations, and an optional CLI for local control.

At its core, Grit employs two primary tools. The first is GritQL, a robust and user-friendly query language facilitating code manipulation through static analysis. The second tool involves AI-powered transformations, allowing migrations to seamlessly adapt to your codebase’s conventions.

When used in tandem, GritQL and AI transforms efficiently handle repetitive tasks associated with modernising outdated code, affording you more time to focus on building the software according to your preferences.

Bloop.ai

Bloop, is a code search engine integrating semantic search with GPT-4 for efficient querying. Users can search their private codebases using traditional methods like regex or literals, or opt for a natural language approach facilitated by GPT-4. The system allows precise code navigation, enabling users to jump between references and definitions in the code.

Unlike traditional code search tools relying on term-matching, bloop uses neural semantic code search by comparing encoded meanings in vector representations of queries and code snippets. By utilising GPT-4 to generate keyword queries and integrating a semantic search engine, bloop maximises code relevance and response accuracy. 

Users can filter their searches by repositories or programming languages. Bloop’s software is open-source, containing various functionalities in a single repository accessible for all. The software is accessible through a free desktop app, ensuring codebase privacy by indexing locally with MiniLM embedding models. 

BitBuilder

BitBuilder functions as a virtual coding assistant, possessing the capabilities of an entry-level software engineer. The agent comprehends clear requirements and generates Pull Requests directly within your repository. Users can collaborate with BitBuilder or work on the branch it initiates to expedite the development process.

One of the primary use cases of BitBuilder is the streamlined creation of Pull Requests. Users can compose a GitHub issue and review a Pull Request. BitBuilder promptly formulates an implementation plan and initiates a PR within 2 to 5 minutes. This functionality encourages utilising BitBuilder’s initial code change attempt.

Moreover, BitBuilder facilitates addressing comments on code. Users can collaborate with BitBuilder to handle comments from code reviews directly through GitHub, eliminating the need to access the code itself. This feature significantly enhances the efficiency of the development workflow.

Cody.AI

Cody is an AI assistant that can be customised for your business. Use Cody to support your team, answer questions, troubleshoot issues, and brainstorm ideas. Cody instantly provides answers to your business queries, eliminating the need to search through documents. 

You can upload various types of data, from PowerPoints to PDFs, to create a personalised knowledge base. Cody will use this information to craft intelligent responses and always provides sources for added credibility.

It can help with tasks like writing emails, translating documents, and creating marketing materials. Additionally, Cody assists in troubleshooting issues with support documentation and can offer valuable ideas and advice based on contextual history.

ReactAgent

ReactAgent is an autonomous agent in the experimental stage, built on the GPT-4 language model to craft and arrange React components based on user stories. The technology stack for this agent includes React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.

The agent interprets user story text and efficiently generates multiple React components, aligning with atomic design principles, and utilises Typescript, TailwindCSS, and RadixUI to create relevant screens. While ReactAgent remains in its experimental phase, initial outcomes are promising and captivating. The project is fully open-sourced, welcoming contributions from the community.

Noteworthy features of ReactAgent encompass its ability to generate React components from user stories, compose React components utilising existing components, employ a local design system for React component generation, and adhere to Atomic Design Principles.