Devin was introduced as the first AI software engineer, designed to automate coding, debugging, and deployment. Researchers at Answer.AI tested its capabilities, finding that while it performs well on some tasks, it faces challenges with complex problem-solving. 

Developers often look for AI coding assistants that excel in specific areas like debugging, automation, or integrations. This blog compares six Devin alternatives, each offering unique strengths to help you find the best fit for your workflow. 

What is Devin? 

Devin is an AI-powered coding assistant developed by Cognition AI. It was introduced as an autonomous software engineer capable of writing, debugging, and deploying applications with minimal human input. Devin was designed to:  

• Find and fix bugs in existing codebases. 
• Write and deploy applications from scratch. 
• Train and fine-tune AI models for custom use cases. 
• Automate repetitive coding tasks to reduce developer workload. 

The tool integrates with Slack and GitHub, allowing developers to interact with it like a team member.  

Who Uses Devin? 

Devin targets individual developers, startups, and enterprises looking to automate software development. Its primary users include: 

• Solo developers who want AI-assisted coding and debugging. 
• Engineering teams looking to automate parts of their workflow. 
• Companies exploring AI-driven software development. 

Despite its potential, real-world testing has revealed inconsistencies in Devin’s performance. Developers have reported inefficiencies in problem-solving, long execution times, and unreliable results. 

This has led teams to explore alternative AI coding assistants that offer more stability, better integration, and proven performance in real-world workflows. 

6 Alternatives to Devin 

Here are six Devin alternatives worth considering. 

1. Bito Wingman 

Bito Wingman is an AI coding agent designed to handle real development tasks, not just assist with code suggestions. It understands high-level instructions, breaks them into actionable steps, and executes tasks autonomously.  

Unlike Devin, which focuses on generating and debugging code, Wingman integrates with your workflow to manage entire development processes inside your IDE. 

How it Works 

• Reads Jira or Linear tickets, analyses requirements, updates your code, and commits changes. 
• Understands full repositories, generates documentation, and uploads it to Confluence. 
• Updates build scripts, runs commands, and verifies successful execution. 
• Refactors existing code for performance, security, and maintainability improvements. 
• Works with tools like GitHub, GitLab, Jira, Linear, Confluence, and local files. 
• Uses advanced reasoning and planning to handle multi-step tasks without constant supervision. 

Use Case 

Best suited for developers and teams looking for an AI agent that actively completes tasks from start to finish rather than just assisting with suggestions. Bito Wingman can take on full coding tasks, automate development workflows, and streamline repetitive work, making it a powerful alternative to Devin.  

→ Download Bito’s VS Code extension 
→ More about Bito Wingman

2. AutoCodeRover 

AutoCodeRover is designed to automate code repair and optimization, with a focus on large-scale codebases. In controlled evaluations using SWE-bench, it successfully resolved 16% of tested GitHub issues, demonstrating its effectiveness in automated code repair. 

How it Works 

• Uses structure-aware code search to extract relevant functions, methods, and classes instead of simple text-based matching. 
• Builds an abstract syntax tree, analyzes code structure, and retrieves relevant sections before generating fixes. 
• Generates patches using an LLM-based repair system, applying automated fixes based on detected inefficiencies. 
• When test cases are available, it performs statistical fault localization to refine its suggestions and improve bug-fixing accuracy. 

Use Case 

Best for teams working with large repositories that require automated debugging and refactoring without manual intervention. 

3. Devika 

Devika is an open-source AI software engineer that can analyse instructions, break them into structured tasks, and autonomously write code. It is built using Claude 3, offering a different approach to reasoning and task execution. 

How it Works 

• Uses large language models, planning algorithms, and web browsing to research and generate solutions. 
• Functions as an AI pair programmer, assisting with debugging, task execution, and feature development. 
• Can integrate with existing development pipelines to automate routine coding tasks. 

Use Case 

A strong option for developers who prefer an open-source AI assistant with greater transparency and flexibility compared to proprietary models. 

4. Anterion 

Anterion is an AI-powered software engineering agent that extends beyond standard issue resolution, assisting with a wide range of open-ended development tasks. 

How it Works 

• Retrieves repository context and external API data to generate relevant solutions. 
• Assists with general engineering workflows, including infrastructure automation and repository management. 
• Future updates plan to integrate with Vercel and additional development tools to expand its capabilities. 

Use Case 

Best suited for developers who need an AI assistant that supports general software engineering workflows rather than just debugging or issue resolution. 

5. Replit Code Repair 

Replit’s Code Repair tool is a real-time AI debugging assistant designed for rapid error detection and correction. It is powered by a seven-billion-parameter model trained on real-world code fixes. 

How it Works 

• Uses operational transformations and session data to detect patterns in common developer mistakes. 
• Trained on a dataset of code-diagnostic pairs collected from real-world Replit users. 
• Mimics LSP Code Actions, providing instant, localized fixes for coding errors. 

Use Case 

Best for developers who need a fast, AI-powered debugging and code repair tool integrated into a cloud-based development environment. 

6. SWE Agent 

SWE Agent is an AI-powered GitHub assistant designed to automate repository management and streamline code review processes. 

How it Works 

• Analyses repositories to detect bugs, outdated dependencies, and security vulnerabilities. 
• Automates issue labelling, categorization, and pull request reviews. 
• Suggests reviewers based on expertise to improve review quality and accelerate code approval. 

Use Case 

Ideal for teams that rely on GitHub and want to automate workflow tasks while improving repository maintenance. 

Conclusion 

AI coding assistants are transforming software development. While Devin introduced AI-driven coding, many tools offer specialized capabilities like debugging, automation, and repository management. Choosing the right assistant depends on your workflow and project needs. 

Bito Wingman takes AI coding further. It understands tasks, plans solutions, and executes code autonomously. Now available to everyone in VS Code, it streamlines development by handling real coding tasks end-to-end. Try Wingman today.