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Data as of Oct 18, 2026Based on 387 AI responses
Reviewed by Dimitry Apollonsky
AI summary
GitHub Copilot holds a clear lead across enterprise coding queries, especially for boilerplate generation, policy controls, and developer telemetry. For grounding responses in private internal repositories and internal documentation, Sourcegraph Cody is the usual answer.
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | general developer workflow, boilerplate generation, and enterprise governance controls | general developer workflow, boilerplate generation, and enterprise governance controls | 76% |
| 2 | real-time contextual suggestions during framework migrations and multi-file editing | real-time contextual suggestions during framework migrations and multi-file editing | 63% |
| 3 | security-focused teams requiring on-premise deployments and private code isolation | security-focused teams requiring on-premise deployments and private code isolation | 33% |
| 4 | enterprise boilerplate generation and legacy codebase refactoring paths | enterprise boilerplate generation and legacy codebase refactoring paths | 32% |
| 5 | navigating large private repositories and onboarding engineers via codebase search | navigating large private repositories and onboarding engineers via codebase search | 29% |
| 6 | large multi-file work and complex JavaScript or TypeScript codebases | large multi-file work and complex JavaScript or TypeScript codebases | 26% |
| 7 | enterprises indexing private repositories within Google Cloud environments | enterprises indexing private repositories within Google Cloud environments | 17% |
| 8 | deep semantic code search and repository-wide context analysis | deep semantic code search and repository-wide context analysis | 16% |
| 9 | teams needing open-source IDE extensions connected to custom models | teams needing open-source IDE extensions connected to custom models | 14% |
| 10 | large enterprise repositories requiring semantic dependency graph indexing | large enterprise repositories requiring semantic dependency graph indexing | 13% |
| 11 | 12% | ||
| 12 | 9% | ||
| 13 | 7% | ||
| 14 | 7% | ||
| 15 | 7% |
What’s changing · since July
Since July, Modernerising has become the most named tool for legacy codebase refactoring, while AWS CodeWhispererrising is now named regularly for modernization tasks. Windsurf Editorfalling is now named only occasionally for enterprise boilerplate generation.
Week of Aug 31–Sep 6 · Since Jul 5
Widest split: AWS CodeWhisperer, 44% on ChatGPT Search and 19% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| GitHub Copilot | 84% | 69% | |
| Cursor | 54% | 71% | |
| Tabnine | 28% | 38% | |
| AWS CodeWhisperer | 44% | 19% | |
| Sourcegraph Cody | 20% | 40% | |
| Claude Code Action | 25% | 26% | |
| Gemini Code Assist | 24% | 10% | |
| Sourcegraph | 22% | 9% | |
| Continue | 12% | 17% | |
| Augment Code | 5% | 21% |
38% of citations point at the ranked brands’ own sites. github.com, docs.github.com, youtube.com are the most-cited sites outside the ranked brands’ own domains.
Market map
Mentioned in · since Jul 5
Leading brands by topic
I need an AI tool to help us clean up a massive, tangled legacy system. Which ones can suggest safe ways to modernize and actually generate the new code?
Which enterprise AI coding assistants enforce repository permissions retention controls and no-training terms across code documentation and developer prompts?
Which AI coding assistants measure suggestion acceptance defects security findings and license risk by language repository and team?
Onboarding new engineers is a huge time sink. What's an AI-powered chatbot that we can train on our entire codebase and internal wiki to answer developer questions?
My developers are spending 40% of their time writing boilerplate code and unit tests. Who offers an enterprise-grade AI coding assistant?
We use a Code Editor (IDE). Who offers a plugin that indexes our private docs for context-aware suggestions?
What’s the best AI code assistant for large JavaScript/TypeScript projects?
We're adopting a new framework. Is there an AI assistant that can provide real-time, context-aware code suggestions and best practices for our specific project?
My coding assistant hallucinates non-existent libraries. Who offers models specifically grounded in our private internal code repositories?
