Blog | 10 AI Pair Programming Tools Worth Using in 2025 | Oct - 04 , 2025

10 AI Pair Programming Tools Worth Using in 2025

Blog169Image1

TL;DR

  • AI pair programming tools have evolved into indispensable coding partners in 2025.
  • They go far beyond autocomplete today’s assistants debug, refactor, review, and even suggest architectural improvements.
  • We’ll explore 10 of the best AI pair programming tools in 2025, includingGreta, and compare how they’re shaping the future of software development.
  • If you’re coding in VS Code, nearly all of these tools have native integrations.
  • This guide will help you compare AI coding assistants 2025 and choose the right fit for your stack, workflow, and budget.

In 2025, AI isn’t just a buzzword in tech circles, it’s an essential coding companion. Software teams across the globe are increasingly usingartificial intelligence tools to speed up delivery cycles, cut down debugging time, and maintain high-quality codebases.

Unlike the early days of autocomplete suggestions, the best AI pair programming tools 2025 offer:

  • Deep code understanding (reading entire repos, not just your current file)
  • Real-time collaboration features (as if a senior dev is sitting next to you)
  • Automated code reviews and test generation
  • Project-aware suggestions rather than shallow one-line fixes

The result? Developers aren’t just faster, they’re building smarter, cleaner, and more scalable codebases.

This blog will walk you through 10 AI pair programming tools for developers that are worth your attention this year, with an honest look at their strengths, weaknesses, and what makes each stand out.

1. Greta

If 2024 was the year of general-purpose AI coding assistants, 2025 belongs to context-first tools like Greta.

What makes Greta different is its ability to understand entire projects, not just the line of code you’re typing. Developers can point Greta to a repo, and it can quickly navigate, summarise, and generate meaningful code suggestions with deep context.

Why Greta Stands Out:

  • Repo-level awareness: Greta doesn’t just autocomplete; it grasps how files connect across your project.
  • Architectural insights: Suggests improvements to structure, dependencies, and maintainability.
  • Interactive conversation: Instead of “code in, code out,” you can chat with Greta like a real teammate.
  • Great for large-scale projects where traditional AI assistants stumble.

For developers working in VS Code, Greta integrates seamlessly, making it one of the best AI pair programming tools 2025 for devs who juggle complex projects.

2. GitHub Copilot

GitHub Copilot has become synonymous with AI coding. It’s still one of the best AI coding assistants in 2025, especially for developers who live inside VS Code.

What’s New in 2025:

  • Multi-file awareness has improved, though still not perfect compared to Greta.
  • Copilot Chat now integrates with GitHub issues and pull requests.
  • Better framework-specific support (React, Django, Node.js).

If you’re looking for something lightweight and already embedded in your daily flow, Copilot remains a strong pick. But if you need deep repo intelligence, you may want to compare it with newer players.

3. Amazon CodeWhisperer

For enterprise teams, Amazon CodeWhisperer is an appealing option. It’s optimized for AWS environments and integrates tightly with Amazon services.

Why It Works for Enterprises:

  • Security scanning is baked into suggestions.
  • AWS-native libraries are recommended automatically.
  • Fine-tuned for compliance in regulated industries.

If your stack is deeply tied to AWS, CodeWhisperer might be your best bet in 2025.

4. Tabnine

Tabnine has carved out its niche by offering AI pair programming tools for developers who prioritise privacy. Instead of relying purely on public models, Tabnine can be trained on your private codebase.

Key Features:

  • Team-tuned AI models for consistent code style.
  • On-premise deployment options for sensitive projects.
  • Great for mid-sized teams that want collaborative AI without sending code externally.

It may not be as flashy as Copilot, but for developers working in security-first environments, Tabnine is a lifesaver.

5. Replit Ghostwriter

While Replit is often seen as a playground for quick projects, its AI tool Ghostwriter has matured into a serious contender in 2025.

What’s New:

  • Full-stack suggestions: from backend APIs to frontend UIs.
  • Test generation that’s surprisingly reliable.
  • Perfect for learners and hobbyists who want immediate feedback.

If you’re working on side projects or prototyping fast, Ghostwriter is one of the best AI pair programming tools 2025 for rapid iteration.

6. Sourcegraph Cody

Cody by Sourcegraph is designed for navigating huge codebases. Thinkenterprise-scale monorepos with thousands of files.

Why Developers Love Cody:

  • Code search + AI suggestions combined.
  • Can answer natural language questions about your repo.
  • Great for onboarding new devs into massive projects.

It’s the go-to AI assistant if your day-to-day involves untangling complex legacy systems.

7. JetBrains AI Assistant

JetBrains IDEs (like IntelliJ and PyCharm) are still favourites among professional developers. Their AI assistant is now built directly into the IDE experience.

Features Developers Appreciate:

  • Refactoring recommendations that feel native.
  • Context-aware docstring and test generation.
  • Smooth integration with Kotlin and Java ecosystems.

For devs who live in JetBrains products, this is the best AI coding assistant to stay fully integrated.

8. Cursor

Cursor isn’t just a plugin; it’s an entire AI-native IDE. Instead of bolting AI onto an old interface, Cursor rebuilds the coding environment around AI-first workflows.

Why It’s Different:

  • Conversation-based coding feels natural.
  • Repo-wide awareness without external integrations.
  • AI debugging sessions that help pinpoint tricky issues.

Cursor feels like the IDE Copilot should have built from scratch.

9. PolyCoder

Born from research projects, PolyCoder has become a go-to for developers who want open-source AI in software development.

Strengths:

  • Transparent model you can self-host.
  • Multiple language support beyond mainstream ones.
  • Good for experimental or niche use cases.

It may not have the polish of commercial offerings, but for developers who value control, it’s a gem.

10. MutableAI

MutableAI focuses on making refactoring and iteration frictionless. Instead of just writing new code, it excels at restructuring existing codebases intelligently.

Best Features:

  • Refactoring suggestions that follow best practices.
  • Automatic unit test updates after changes.
  • Integration with VS Code for smooth adoption.

For teams that spend more time maintaining than creating, this is a true productivity booster.

How to Compare AI Coding Assistants 2025

Choosing between these tools isn’t about picking “the best” globally it’s about picking the best for your workflow. Here’s how to compare:

  • Repo size: Greta and Cody excel in large repos, while Copilot handles smaller workflows well.
  • Ecosystem fit: JetBrains AI is perfect if you’re already in IntelliJ, while CodeWhisperer shines in AWS.
  • Privacy needs: Tabnine and PolyCoder give you more control over data.
  • Speed vs depth: Ghostwriter and Cursor are fast for prototyping, while Greta is more project-aware.

AI Tools for Pair Programming in VS Code

If you’re in VS Code, here’s the quick rundown:

  • Greta – best for repo-wide understanding.
  • GitHub Copilot – most popular and integrated.
  • Tabnine – strong on privacy.
  • MutableAI – great for refactoring inside VS Code.

This makes VS Code the powerhouse editor for AI pair programming in 2025.

Comparison of the Best AI Pair Programming Tools in 2025

ToolBest ForKey StrengthsLimitationsWorks in VS Code?Unique Edge
GretaComplex, large reposRepo-wide understanding, architectural insights, and interactive conversationsNewer tool, still growing ecosystem✅ YesDeep context awareness across full projects
GitHub CopilotEveryday coding, small to mid projectsSeamless VS Code integration, large user base, good framework supportLimited repo-wide reasoning✅ YesMost popular assistant with GitHub-native workflows
Amazon CodeWhispererAWS-heavy teamsAWS library recommendations, built-in security checks, and enterprise complianceLess flexible outside AWS✅ YesBest for enterprise + AWS integration
TabninePrivacy-focused teamsTrainable on private code, team consistency, and on-premise optionsLess creative than Copilot✅ YesStrong data privacy and team control
Replit GhostwriterFast prototyping, learnersFull-stack suggestions, test generation, great for beginnersBest in-browser, weaker in local IDEs⚠️ PartialBest for learning & rapid iteration
Sourcegraph CodyLarge monorepos, onboardingCode search + AI, repo-scale reasoning, natural language Q&ABest for larger projects, overkill for small apps✅ YesExcellent for navigating legacy repos
JetBrains AI AssistantJava/Kotlin devs, JetBrains IDE usersRefactoring, smart docs/tests, native JetBrains integrationNot as strong outside JetBrains ecosystem⚠️ PartialBest for JetBrains ecosystem
CursorAI-first workflowsAI-native IDE, repo awareness, natural conversation codingRequires moving to a new IDE❌ NoBuilt as an AI-first IDE
PolyCoderResearchers, open-source fansTransparent, self-hosted, multi-languageLacks polish, weaker UX⚠️ PartialOpen-source and customizable
MutableAITeams focused on refactoringAutomated refactoring, test updates, smooth VS Code flowNot as broad in feature set as Copilot or Greta✅ YesSpeeds up maintenance and refactoring

Final Thoughts: The Future of AI in Software Development

By 2025, AI pair programming isn’t optional it’s becoming the standard way developers write code. What used to feel like “cheating” is now just good engineering practice.

The tools we explored from Greta to Copilot, Cody to MutableAI each bring something unique to the table. Whether you want enterprise-grade compliance, repo-wide intelligence, or a lightweight sidekick in VS Code, there’s an AI partner waiting for you.

But one thing is certain: the best AI pair programming tools 2025 won’t replace developers, they’ll amplify them. Just like pair programming with a human, the magic happens when AI and a developer collaborate as equals.

FAQs

1. What is AI pair programming?

AI pair programming is when developers use artificial intelligence tools to act as a coding partner. These tools suggest, review, debug, and even refactor code in real time.

2. Which is the best AI pair programming tool in 2025?

It depends on your needs: Greta for repo-wide intelligence, Copilot for everyday coding in VS Code, Tabnine for privacy, and CodeWhisperer for AWS-heavy teams.

3. Do AI coding assistants work in VS Code?

es, most of the best AI coding assistants like Greta, Copilot, Tabnine, and MutableAI integrate directly into VS Code. Some (like Cursor) require a separate IDE.

4. Will AI replace developers?

No AI pair programming tools are designed to assist, not replace. They speed up tasks, reduce bugs, and free developers to focus on solving higher-level problems.

5. How do I compare AI coding assistants in 2025?

Look at: repo size support, integration with your stack (VS Code, JetBrains, AWS), privacy needs, and whether you need fast prototyping or deep architectural insights.

Ready to be a
10x Marketer?

See it in action

left-gradient
left-gradient
Questera Logo
SOC 2 Type II Cert.
SOC 2 Type II Cert.
AI Security Framework
AI Security Framework
Enterprise Encryption
Enterprise Encryption
Security Monitoring
Security Monitoring

Subscribe for weekly valuable resources.

Please enter a valid email address

© 2025 Quest