8 Best Devin AI Alternatives for AI Powered Coding in 2025

🤖 Devin AI set an ambitious goal—to become the world’s first fully autonomous software engineer.

It’s a bold vision—and while it shows promise, many developers have found that it’s not quite ready for complex, real-world workflows.

From limited context handling to gaps in integration and scalability, Devin sometimes adds more steps than it removes. And when you try finding alternatives, most lists feel outdated, irrelevant, focusing on hype, not hands-on utility.

That’s why we’ve curated this guide—to highlight real alternatives to Devin AI that actually support AI-driven software development and modern dev teams, whether you need faster code generation, better task execution, or tighter integration with your stack.

Why Go For Devin AI Alternatives? 

Devin is an autonomous AI software developer built by Cognition AI, a San Francisco-based startup founded in 2023 by competitive programming champions Scott Wu, Steven Hao, and Walden Yan. Unlike traditional AI coding assistants, Devin is designed to independently plan, write, debug, and deploy code, effectively functioning as a full-fledged software engineer.

If you’ve spent time with Devin AI, some of these might feel too familiar 👇

• Not great at complex or visual tasks: Handles basic coding, but struggles with converting Figma designs, managing multi-module apps, and dealing with layered logic, often requiring manual fixes
• Poor at understanding context: Misses the full picture in nuanced client needs or design intent, leading to incomplete or irrelevant output
• Lacks creativity in complex problem-solving: Follows repetitive coding tasks well but fails to suggest innovative UX ideas or creative solutions
• Not built for team collaboration: Ignores PR reviews, feedback loops, and team comments, making it ineffective for collaborative coding environments
• Fails at full app development: Generates APIs but breaks during frontend integration or Heroku deployment, often needing heavy cleanup
• Privacy and security concerns: Requires access to full repos and datasets, raising red flags for teams managing sensitive user data due to limited privacy controls and black-box AI behavior
• Performance drops with heavy use: Slows down significantly after crossing 10–150 compute units (ACUs), affecting overall responsiveness
• Weak in machine learning workflows: Struggles with ML frameworks like TensorFlow and often fails to deploy models properly

Best Devin AI Alternatives At A Glance

Want a quick breakdown? Compare these compelling alternatives of Devin AI and find what works for you. 

Tool	Key features	Best for	Pricing
	– AI-powered documentation and specs – Autopilot agents for task automation – DevOps integrations with Git tools	Product teams and dev managers needing centralized project tracking and AI-assisted documentation	Free forever; Customizations available for enterprises
Replit Code Repair	– Real-time bug fixing – Code optimization suggestions – Seamless IDE and GitHub integration	Solo developers and learners looking for fast debugging in a collaborative cloud IDE	Free plan available; Paid plans start at $25/month
Devika AI	– Autonomous code generation – Web-based research for problem solving – Multi-language development support	Open-source developers and engineers wanting full control over agentic AI software engineering	Paid plans start at $19/month
SWE Agent	– Converts GitHub issues into code fixes – Agent-computer feedback loop – Creates verified pull requests	Backend developers handling GitHub issues and automated PR generation	Free to self-host; No fixed pricing (API & infra costs apply)
Cody	– Natural language Q&A across codebase – AI-powered autocomplete and refactoring – Support for multiple LLMs	Large engineering teams needing deep codebase understanding and enterprise-grade AI code assistant	Free plan available; Paid plans start at $19/month
MetaGPT	– Collaboration with role-based tasks – Structured software artifact generation – Open-source multi-agent framework	Product leads and tech architects seeking AI-generated software specs and system design	Free plan available; Paid plans start at $20/month
Amazon CodeWhisperer	– Context-aware code suggestions – Intelligent AWS API handling – Built-in security and compliance scanning	AWS developers and enterprise teams looking for secure, AI-assisted coding inside IDEs	Free plan available; Paid plans start at $19/month
Cursor	– Multiline autocomplete – Context-aware AI chat in editor – Agent mode and notebooks for structured code generation	Developers who want an interactive AI pair programmer inside a VS Code-style editor	Free plan available; Paid plans start at $20/month

Best Devin AI Alternatives to Use

Let’s compare these tools in terms of capabilities, features, pricing, and more.

1. (Best for AI-powered project and code management in one place)

Plan your entire development cycle with Brain

, the everything app for work, is designed for software teams to manage everything in one place. Brain, an AI assistant designed to support your entire software development lifecycle, is at the heart of its developer-focused toolkit. 

From documenting APIs and summarizing long technical docs to generating code snippets and writing clean commit messages, Brain streamlines key parts of software project management so you can move faster. It also turns feature specs into actionable task lists, refines messy documentation, and helps brainstorm ideas with relevant context-aware prompts.

Automate routine engineering workflows with custom AI agents

Build your AI agents to automate bug triage, task assignment, and issue routing workflows. For example, an agent can be set up to automatically assign code reviews based on workload or escalate blockers to leads, just like Devin AI’s autonomous workflow.

Replace disconnected dev tools with one centralized platform

However, what truly sets apart is its ability to replace multiple dev tools with one platform. Instead of switching between Jira, Trello, Notion, Confluence, and GitHub, for Software Teams brings everything in one space: docs, tasks, sprints, bug tracking, roadmaps, and release planning.

In the same view, you can create detailed documentation, manage your product backlog, assign tasks, and track progress. 

Manage sprints and timelines with Agile Views

Engineering leads can monitor timelines using Gantt Charts, manage workflows with Agile Boards, and even track team capacity using Workload View. 

Visualize blockers and progress with custom Dashboards

Monitor sprint progress, deployment status, and team workload in real time. Build custom Dashboards to visualize blockers, velocity, and delivery pipelines—giving your AI-powered workflows the data they need to optimize delivery.

Sync code updates automatically with GitHub and GitLab

Connect your GitHub or GitLab accounts to for real-time commit visibility, pull request tracking, and automated task updates. With GitHub integration with , you can link code changes directly to tasks, update statuses when PRs are merged, and trigger automations based on commit activity, keeping your development workflow aligned and efficient.

also supports over 1,000 integrations, allowing your workflows to stay connected. From Slack and Zoom to Figma and Bitbucket, the integration ecosystem ensures developers don’t have to change how they work; they can just bring it all into . 

If you want to hit the ground running, the Software Development Template includes pre-built folders for roadmap planning, sprint management, bug tracking, and QA checklists. This gives teams a plug-and-play workspace to ship software faster.

best features

• Docs: Create rich documentation with version history, comments, and seamless linking to tasks and dashboards
• Custom Autopilot Agents: Build your own AI agents that automate workflows like sorting tasks, scoring bugs, or routing issues based on priority
• Automations: Use 100+ pre-built triggers to automatically update task statuses, assign users, and send alerts across workflows
• Whiteboards: Visually plan software architecture, user flows, and sprints with your team in real time.
• Time Tracking: Log coding, review, and QA time directly in tasks for better resource planning
• Goals & OKRs: Set and track engineering goals, sprint targets, and release milestones
• Forms: Collect bug reports and feature requests as tasks from any stakeholder
• Mobile App: Manage code reviews and incidents on the go
• Permissions & Security: Protect projects and docs with granular access controls and enterprise security
• AI Meeting Notetaker: Auto-captures meeting notes and action items from standups or reviews
• Templates: Start fast with ready-made templates for dev, sprints, and QA

limitations 

• ’s wide feature set can overwhelm smaller teams during initial setup
• Advanced customization often requires admin-level expertise

pricing 

ratings and reviews 

• G2: 4.7/5 (10,000+ reviews)
• Capterra: 4.6/5 (4,000+ reviews)

What are real-life users saying about ?

As one G2 reviewer said:

2. Replit Code Repair (Best for real-time code debugging and fixes in the cloud IDE)

Built into the Replit online IDE code editors, Code Repair is an AI-powered coding assistant that watches your code for errors and suggests corrections on the fly. It specializes in keeping your existing code clean and error-free, using models fine-tuned on tons of debugging data to generate solutions. 

Developers can use it alongside Ghostwriter (Replit’s AI coding assistant) for real-time autocomplete, code translation, multiplayer debugging in shared projects, and code translation across 50+ languages. It’s a handy assistant for everyday fixes in fast-paced or collaborative coding sessions.

Replit Code Repair best features

• Along with helping to fix bugs, it suggests logic improvements and cleaner ways to write documentation for code
• Extends Language Server Protocol by auto-fixing 60% of common code errors like missing imports or type mismatches
• Offers real-time explanations of applied fixes to help junior devs understand what’s changing and why

Replit Code Repair limitations 

• Users have reported sudden crashes with varying error codes, making it difficult to diagnose issues

Replit Code Repair pricing 

• Free 
• Replit Core: $25/month
• Teams: $40/user/month
• Enterprise: Custom pricing 

Replit Code Repair ratings and reviews 

• G2: 4.5/5 (100+ reviews)
• Capterra: Not enough reviews 

What are real-life users saying about Replit Code Repair?

As one G2 reviewer said:

3. Devika AI (Best for open-source, self-hosted AI coding with web research capabilities)

Devika AI is a self-hosted open-source project, designed as an AI coding agent built to function properly like an autonomous software engineer. It breaks down user prompts into executable steps, searches relevant documentation online, and writes structured, multi-file code in response.

The agent also maps dependencies between components, supports code generation in multiple languages, and enables multi-file code execution across your project.

It has tools for advanced reasoning, progress tracking, and a built-in browser interaction module to support documentation lookup and code research. Developers can monitor their ongoing actions through a visual interface and view which parts of a project are complete or in progress. Devika integrates with common tools like GitHub, API endpoints, and IDEs, and is suitable for solo coding tasks or automating larger feature builds.

Devika AI best features

• Identifies key terms from prompts to guide planning and search as per the relevant code context
• Maintains project structure and tracks how each file fits into the broader system of the code writing module
• Developers can describe tasks conversationally and get code or clarifications in return with an NLP-powered chat interface 

Devika AI limitations 

• There are reports of the iteration process being problematic

Devika AI pricing 

• Pro: $19/month
• Pro+: $49/month
• Teams: $99/month
• Enterprise Custom: Custom pricing 

Devika AI ratings and reviews 

• G2: Not enough reviews 
• Capterra: Not enough reviews 

What are real-life users saying about Devika AI?

As one Reddit reviewer said:

4. SWE Agent (Best for AI-driven bug fixing and GitHub issue resolution (open-source)

SWE Agent is a fully autonomous, open-source AI agent. It takes a GitHub issue as input, analyzes the project, and executes a loop of reading, editing, testing, and committing code, aiming to fix the problem end-to-end. It uses tools like compilers, linters, and test runners—and can parse the abstract syntax tree (AST) to understand code structure before applying changes.

The system is powered by large language models, such as GPT-4 or Claude, combined with an Agent-Computer Interface (ACI) that lets it navigate, modify, and run code. SWE Agent also supports debugging, test generation, and opening pull requests on real repositories—powered by large language models capable of understanding project context at scale. This makes it a practical assistant for long-standing bug queues.

SWE Agent best features

• Easily customizable via YAML files and modular design for experimentation or tailored workflows
• Tries multiple rounds of fixes based on real test results instead of stopping at one solution
• Comes with modules like EnIGMA for solving CTF-style cybersecurity challenges and debugging vulnerabilities

SWE Agent limitations 

• Development and setup are time-consuming and complex 

SWE Agent pricing 

• Free and open-source (compute and model API costs vary)

SWE Agent ratings and reviews 

• G2: Not enough reviews 
• Capterra: Not enough reviews 

What are real-life users saying about SWE Agent?

As one Reddit reviewer said:

5. Cody (Best for AI-driven code understanding and generation across large codebases)

Cody is an AI coding assistant built by Sourcegraph to help developers understand, navigate, and generate code across large and complex repositories. Unlike generic code tools, Cody taps into Sourcegraph’s code indexing engine. This allows it to search through your entire codebase, even across multiple repositories, allowing developers to get helpful suggestions without breaking their flow.

The assistant runs inside your IDE (like VS Code or JetBrains) and integrates with code search, documentation, and external tools like Notion or issue trackers. It excels at real-time Q&A, cross-repo suggestions, and explaining large blocks of code. 

Cody best features

• Teams can create reusable prompts for consistent code generation across contributors, and it has reliable multi-file editing for high-level human instructions.
• Supports GPT-4, Claude, and Sourcegraph’s small models for different use cases
• Available with privacy controls and self-hosted deployments for enterprise-grade security

Cody limitations 

• The tool lacks support for multimodal inputs like images or diagrams, which can be a drawback when dealing with complex data structures or algorithms

Cody pricing 

• Free 
• Enterprise Starter: $19/user/month for up to 50 devs
• Enterprise: $59/user/month for up to 25+ devs

Cody ratings and reviews 

• G2: 4.5/5 (60+ reviews)
• Capterra: Not enough reviews 

What are real-life users saying about Cody?

As one G2 reviewer said:

6. MetaGPT (Best for multi-agent collaborative software design and planning)

MetaGPT is a multi-agent AI framework that simulates a full software development team. It assigns AI roles like Product Manager, Architect, and QA to generate structured software deliverables. You can describe a product idea in plain English, and MetaGPT generates code based on predefined SOPs—producing requirement docs, system designs, code modules, and test plans.

The entire process follows predefined Standard Operating Procedures (SOPs), ensuring each agent contributes in a controlled, predictable way. MetaGPT produces complete project skeletons with a clear structure, making it suitable for AI-driven documentation to improve your developer productivity.

MetaGPT best features

• AI agents communicate via formatted artifacts like PRDs and system diagrams
• Agents share updates through a shared memory system to avoid conflicts and ensure alignment
• Add roles, tools, or edit agent behavior with full access to the multi-agent orchestration logic for open-source community-driven projects 

MetaGPT limitations 

• Output may need heavy human review before deployment, especially for production-grade systems

MetaGPT pricing 

MetaGPT ratings and reviews 

• G2: Not enough reviews 
• Capterra: Not enough reviews 

What are real-life users saying about MetaGPT?

As one Product Hunt reviewer said:

7. Amazon CodeWhisperer (Best for AI code suggestions with AWS integration and security checks)

Amazon CodeWhisperer is an AI coding assistant designed to help developers write, review, and secure code faster. It provides real-time code suggestions as you type, powered by context from the current file and preceding code. Built to integrate smoothly into IDEs like VS Code, JetBrains, and AWS Cloud9, it works across 15+ languages, including Python, Java, JavaScript, and TypeScript.

CodeWhisperer detects unsafe patterns, flags hardcoded credentials, and suggests more secure implementations. It’s particularly helpful when working with AWS SDKs, auto-completing resource-specific code snippets based on best practices for services like S3, Lambda, and DynamoDB.

Amazon CodeWhisperer best features

• Learns your codebase to provide stylistically consistent suggestions for software development
• Code scanning with AI remediation detects and suggests fixes for security vulnerabilities like exposed keys or unsafe queries
• Runs in various IDEs with built-in support for CLI credentials and AWS context

Amazon CodeWhisperer limitations 

• Less useful outside AWS-focused complex projects or when deep customization of model behavior is required

Amazon CodeWhisperer pricing

• Free 
• Pro: $19/user/month 

Amazon CodeWhisperer ratings and reviews 

• G2: Not enough reviews
• Capterra: Not enough reviews 

What are real-life users saying about Amazon CodeWhisperer?

As one G2 reviewer said:

8. Cursor (Best for AI pair programming in your IDE with an all-in-one code assistant)

Cursor AI is an AI-powered coding assistant built directly into a forked version of VS Code. It’s designed to work like a pair programmer that understands your codebase, helps you debug, and lets you edit files with natural language prompts. You can highlight lines, ask questions in the chat, and get contextual completions or code edits without switching multiple tabs or different software development tools.

It’s deep context handling indexes your full repo, understands dependencies, and helps with large-scale edits across multiple files. Developers can ask Cursor to explain what a function does, refactor code, or even explore Git history with a conversational UI. 

Cursor AI best features

• Lets you highlight any code and ask for changes or explanations using natural language, right inside the editor
• You can use Cursor alongside GitHub Copilot to get the best of both AI tools
• You can share AI prompts, coding setups, and settings with your team to ensure consistency and faster onboarding

Cursor AI limitations 

• AI’s performance can vary; sometimes it delivers spot-on results, but other times it veers off track without any clear reason

Cursor AI pricing 

• Free 
• Pro: $20/month
• Business: $40/user/month 

Cursor ratings and reviews 

• G2: Not enough reviews 
• Capterra: Not enough reviews 

What are real-life users saying about Cursor AI?

As one G2 reviewer said:

Looking Past Devin AI? Might Be the Upgrade You Need

Devin AI may have started the wave, but these tools are riding it with way more balance. Whether you’re debugging, building full-stack apps, or just wanting an AI that gets your code, there’s a smarter, better alternative.

If you need a complete workspace that merges documentation, sprints, and AI-powered automation, is built for developer productivity at scale. With features like code-aware AI, customizable agents, and GitHub/GitLab integrations, it’s more than an assistant; it’s your complete workspace designed to enhance developer productivity.

Give it a shot, and start building with more focus and less friction. Sign up for now!

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