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Compare all 16 tools: See how deep our insights go and how to use them to win

Schedule a detailed briefing with Petro & Natasa.

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The AI coding tools developers choose

The AI Coding Tools Benchmark report compares GitHub Copilot, Claude Code, OpenAI Codex, Cursor, Windsurf, Gemini Code Assist, Amazon Q Developer, JetBrains AI, Replit, Firebase Studio, Sourcegraph Amp, Tabnine, Mistral Code, aider, GitLab Duo, and Cline on developer adoption, performance, quality and trust.

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Stop investing in hype.
Power decisions on data, bring results.

  • Build your product based on what developers using coding AI tools actually expect

  • Respond to performance pressure with clear actions, backed by data

  • Leave guesswork aside 

  • Foggy competitor landscape? Not anymore

  • Capitalise on the areas where your competitors are lagging.

landing page Debugging is the single most underserved tasks by AI tools, despite its high
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The free version offers a comparison of Claude Code, Codex and Cursor. 

Turn risky AI decisions into product roadmaps that drive results, adoption and revenue.

  1. Invest on what developers are looking and are willing to pay for, not hype

  2. Drive adoption, revenue and growth through the right product roadmap

  3. Find the right AI tool for the job YOU are doing

  4. Optimise performance, build a happy developer team

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The solution for
AI technology vendors

  • Benchmark product performance on awareness, adoption , engagement and satisfaction

  • Discover what drives engagement

  • Identify gaps in your competitors' products

AI technology buyers

Reduce risk by choosing the more trusted tool

Choose the right tool for your stage in the lifecycle 

  • Choose the right tools for your team

  • Set expectations on productivity and quality 

They trust us

Decision clarity based on developer data and insights

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AI Coding Tools Benchmark

Stop investing in hype.
Power AI decisions on real developer signals.

  • Build your product based on what developers using coding AI tools actually expect

  • Respond to performance pressure with clear actions, backed by data

  • Leave guesswork aside 

  • Foggy competitor landscape? Not anymore

  • Capitalise on the areas where your competitors are lagging.

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How are developers using...

  • Replit

  • Firebase Studio

  • Sourcegraph Amp

  • Tabnine

  • Mistral Code

  • aider

  • GitLab Duo

  • Cline

  • GitHub Copilot

  • Claude Code

  • OpenAI Codex

  • Cursor

  • Windsurf

  • Gemini Code Assist

  • Amazon Q Developer

  • JetBrains AI

...and how do they feel about it?

Turn risky AI decisions into product roadmaps that drive results, adoption and revenue.

  1. Invest on what developers are looking and are willing to pay for, not hype

  2. Drive adoption, revenue and growth through the right product roadmap

  3. Find the right AI tool for the job YOU are doing

  4. Optimise performance, build a happy developer team

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