Compare
Compare AI coding agents and agent platforms.
Side-by-side comparisons of AI coding agents and agent platforms, written from each vendor's own documentation and pricing pages, with every cell linked to its source and dated. TechFabric builds Fabric and wrote these pages; where Fabric is one of the two, the page says so.
Latest documentation read 10 October 2026
Coding agents, side by side
Neither side is Fabric. Fabric runs as an MCP server and works with either.
- Claude Code vs OpenAI CodexIf your organisation standardises on Claude models or buys them through Bedrock, Google Cloud or Microsoft Foundry, choose Claude Code. It runs Claude models only and documents those three cloud providers. If your organisation already pays for ChatGPT Business or Enterprise, choose OpenAI Codex. It is included in those plans, so it adds no separate seat.
- Claude Code vs GitHub CopilotIf you want an agent driven from the terminal, scripts and scheduled cloud runs, choose Claude Code. If you want Claude models but your company buys through GitHub, choose GitHub Copilot.
- Cursor vs Claude CodeIf you want one editor where you can switch between Claude, GPT, Gemini and other vendors' models, choose Cursor. If your work happens in the terminal, in CI pipelines or across several IDEs, choose Claude Code.
- Cursor vs GitHub CopilotIf you want many cloud agents in parallel, including on machines you manage, choose Cursor. If you want the lowest published paid price for an individual or a business seat, choose GitHub Copilot.
- Kiro vs CursorIf your company signs in through AWS IAM Identity Center and wants customer-managed KMS keys, choose Kiro. Its enterprise setup is built on IAM Identity Center and supports KMS keys you own. If you want cloud agents running on machines you manage, choose Cursor. It documents self-hosted machines for cloud agents; Kiro's cloud sessions run in a managed sandbox.
Alternatives
Who each option suits, with a source for every fact.
Fabric against
Fabric is one side of these, and the page says so.
Questions
How were these comparisons written?
From each vendor's own documentation and pricing pages, read on the date shown on each page. Every cell links to the page it came from. No hands-on benchmarks were run, so the pages compare what each vendor publishes, not measured speed or code quality.
Who wrote these comparisons?
TechFabric, which builds Fabric. Fabric is not one side of the coding-agent pairs: it runs as an MCP server and works alongside any of them. Where Fabric is one of the two options, the page says so at the top.
Why does each page carry a date?
Pricing, plans and models for AI coding tools change every few weeks. The date says when the documentation was read. Check the vendor's own page, linked in each cell, before you buy.