This content originally appeared on DEV Community and was authored by Kiran Naragund
Hello Devs👋
As developer tools powered by AI keep changing the way we code everyday, Qodo and GitHub Copilot are two key players in the market.
Both these tools provide advanced AI programming, yet they have notable differences in how they handle test generation and code review features.
In this article, I will be comparing these 2 tool on various factors. We’ll break down their features, strengths, and weaknesses to help you choose the one that fits your needs best.
I recently shared an article where I have curated 20 Best AI Coding Agents
If you still haven't checked that out, check from below👇
Now lets get started.
Overview of Qodo
Qodo is a quality-first generative AI coding platform that helps developers write, test, and review code within IDE and Git. It offers automated code reviews, contextual suggestions, and comprehensive test generation, ensuring robust, reliable software. Seamless integration maintains high standards of code quality and integrity throughout development.
Its Core offerings
- ✅ Code completion
- ✅ Natural language chat
- ✅ Coding agent
- ✅ Automated code reviews in the pull request
- ✅ Test generation
- ✅ Code Coverage
Overview of GitHub Copilot
GitHub Copilot is an AI-driven code completion assistant developed by GitHub. It enables you to write code faster and more efficiently by providing context-aware code suggestions directly within the editor.
From entire functions to single-line completions, Copilot enhances your development experience by suggesting optimal code snippets, identifying potential issues in your code, and promoting cleaner, more efficient code practices.
Its Core offerings:
- ✅ Code completion
- ✅ Natural language chat
- ✅ Coding agent
- ✅ Code review suggestions
IDE & Git Support
Qodo currently supports only JetBrains, VS Code.
GitHub Copilot has wider IDE support including JetBrains, VS Code, Neovim, Visual Studio, and even a browser-based solution.
On the Git front:
Qodo integrates with major platforms like GitHub, GitLab, Bitbucket, and Azure DevOps.
GitHub Copilot , being part of GitHub, only supports GitHub-based repositories.
Code review
Qodo offers a dedicated review agent with 15 automation commands—like generating PR descriptions, compliance checks, and AI-driven suggestions.
GitHub Copilot limits reviews to pull request summaries and code suggestions in VS Code.
✅ Test Generation
Qodo includes a dedicated Qodo Gen workflow for unit test generation within PRs.
Where as Copilot relies on prompting in chat for test generation, so based on the prompt in chat it will generate the testcases.
✅ Autocomplete and Agentic Chat
Both platforms support autocomplete and agentic chat.
Customization
Qodo leads in customization:
Choose which repositories to index
Add custom labels, tags, and best practices
Use custom or open models
Configure at org, team, or repo level
Copilot allows:
Functionality via GitHub apps
Requires Copilot Business or Enterprise subscription for advanced features
Model Support
Both tools support a range of language models from Claude, OpenAI, Deepseek and Gemini.
Deployment Options
The Available deployment options for both are:
| Deployment Type | Qodo | Copilot |
|---|---|---|
| On-premises | ✅ Airgapped, VPC supported | ❌ SaaS only |
| SaaS | ✅ | ✅ |
Language Support
Both platforms support all major programming languages, making them suitable for large complex codebases.
MCP Support
Both tools supports Model Context Protocol and can access internal as well and external tools.
Overall Comparision
| Feature | Qodo (Codium) | GitHub Copilot |
|---|---|---|
| Test generation | Automated via Qodo Gen, with behavior-aware edge‑case coverage | Manual by prompting in chat |
| Code review | Deep PR review (bug/security/compliance), PR descriptions, RAG-powered | PR summaries, code suggestions |
| IDE Support | VS Code, JetBrains only | VS Code, JetBrains, Visual Studio, Neovim |
| Git integration | GitHub, GitLab, Bitbucket, Azure DevOps via Qodo Merge agent | GitHub only |
| Deployment options | SaaS & self-hosted (air-gapped, VPC) | SaaS only |
| Model Options | GPT, Claude, Gemini, proprietary | GPT, Claude, Gemini |
| Pricing | Free dev plan, Teams $19/user/mo; Enterprise $45/mo | Free dev plan, PRO $10/mo, Business $19/mo, Enterprise $39/mo |
🔍 Final Verdict
At the end of the day, both Qodo and GitHub Copilot bring powerful AI capabilities to your workflow but, they shine in different ways.
If you're looking for an AI coding tool that goes beyond autocomplete, one that can automate your code reviews, generate unit tests with structure, provide compliance checks, and offer enterprise-level deployment options (on-prem, VPC, airgapped) then, Qodo is the more better choice.
It's built with quality and scalability in mind, making it a solid fit for teams that prioritize test coverage, customization, and review automation.
On the other hand, if your development is tightly integrated with GitHub, and you want a lightweight, fast, and familiar experience inside VS Code, GitHub Copilot is still a great assistant, especially for individual developers or smaller teams already within the GitHub ecosystem.
👨💻 In short:
Choose Qodo if you want a test-first, deep PR automation, review-focused AI development assistant that can scale with your team.
Stick with Copilot if you need a quick and smart autocompletecompanion inside GitHub-centric workflows.
Both are great tools, it just depends on what kind of developer experience you're aiming for.
Comment down which one you use the most 👇
Connect with me on X, GitHub, LinkedIn
This content originally appeared on DEV Community and was authored by Kiran Naragund
Kiran Naragund | Sciencx (2025-06-26T06:00:50+00:00) Comparing Qodo and GitHub Copilot 🕵️. Retrieved from https://www.scien.cx/2025/06/26/comparing-qodo-and-github-copilot-%f0%9f%95%b5%ef%b8%8f/
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