A substantial improvement in intelligence and behavior over Composer 2, particularly on long-horizon agentic tasks.
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What I liked most is that Cursor actually understands the repo structure instead of only using nearby code as context. The agent mode fixing errors and rerunning tests feels much more useful than normal AI autocomplete. Curious how performance scales on really large codebases or monorepos.
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Hello, Shipped an entire social media automation pipeline with Composer 2.5 this week card generation, scheduling, multi-platform posting. It stayed coherent across 15+ files without losing context. The jump from 2.0 is massive. This is my default model now.
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I am genuinely surprised by how close is this model to using GPT 5.5 on cursor. And blazingly fast at the same time. Area for improvement: 1. More aggressive testing - you can afford this because the model so fast, so doing this will noticably improve the agent with bug finding and reliability.
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I've been using Cursor extensively for Python development, and the biggest challenge isn't generating code it's maintaining consistency across large, multi-file projects.
I'm curious: does Composer 2.5 improve at understanding existing project architecture before making edits, so it preserves coding patterns and avoids introducing inconsistent implementations across the codebase?
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What I liked most is that Cursor actually understands the repo structure instead of only using nearby code as context. The agent mode fixing errors and rerunning tests feels much more useful than normal AI autocomplete. Curious how performance scales on really large codebases or monorepos.
Hello,
Shipped an entire social media automation pipeline with Composer 2.5 this week card generation, scheduling, multi-platform posting. It stayed coherent across 15+ files without losing context. The jump from 2.0 is massive. This is my default model now.
I am genuinely surprised by how close is this model to using GPT 5.5 on cursor. And blazingly fast at the same time.
Area for improvement:
1. More aggressive testing - you can afford this because the model so fast, so doing this will noticably improve the agent with bug finding and reliability.
I've been using Cursor extensively for Python development, and the biggest challenge isn't generating code it's maintaining consistency across large, multi-file projects.
I'm curious: does Composer 2.5 improve at understanding existing project architecture before making edits, so it preserves coding patterns and avoids introducing inconsistent implementations across the codebase?
Congrats on the release! 🚀