More training scale, still aggressive pricing, and a better model for long-running coding work.
That is Composer 2.5 in a nutshell.
It continues from the same base as Composer 2, and this version is trained to be better at sustained work, complex instructions, communication style, and effort calibration inside Cursor.
Targeted textual feedback helps the model improve specific mistakes inside long rollouts, while 25x more synthetic tasks push it into harder coding problems grounded in real codebases.
Looking forward to the next larger model trained from scratch with 10x more compute!
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.
the shift from composer as a feature to composer as a versioned product with its own release cadence is an interesting signal about where Cursor thinks the value actually lives. it's not the editor anymore, it's the agent layer on top of it
Has the team experimented with giving the agent more awareness of runtime behavior — like logs or error traces — so it can reason about what's actually happening vs just what the code says? Curious if that's on the roadmap.
Nice to see the new models and I have been using Composer this morning - sorry for the reality check - but c'mon - Composer 2.5 does not really compare well against Opus 4.7 or Sonnet.
That was a no-brainer upvote! Testing Composer 2.5 since yesterday, and I'm extremely impressed. 2.0 was already a good one, but with 2.5, I feel like there's no need for Opus or GPT-5.5. Great job!
The focus on long-horizon agentic tasks is the right unlock for real coding workflows. We've run into this building RetainSure where the model drops context mid-task once the chain gets 20+ steps deep. How does Composer 2.5 handle state management across very long multi-file agentic sessions, and is there a hard limit on task length before it degrades?
The effort calibration piece stands out to me. We've had agents lose coherence around step 6 or 7 in a long agentic chain, and it's tough to know if that's model drift or context decay. Curious how the targeted textual feedback is applied: at the step level within a rollout, or on the full trajectory?
Specializing a model for code editing workflows rather than pure generation is the right call. Generic models fall apart on multi-file edits because they lose track of interdependencies. Building RetainSure, we've hit that quality cliff when an agent touches more than three or four tightly coupled files. How does Composer 2.5 handle semantic conflicts when simultaneous edits across files introduce inconsistencies?
Love cursor, been a power user for a long time now, and happy to see the native model getting better and better.
About Composer 2.5 on Product Hunt
“Cursor’s most powerful model yet”
Composer 2.5 launched on Product Hunt on May 19th, 2026 and earned 393 upvotes and 12 comments, earning #3 Product of the Day. A substantial improvement in intelligence and behavior over Composer 2, particularly on long-horizon agentic tasks.
Composer 2.5 was featured in Artificial Intelligence (470.4k followers) and Development (5.9k followers) on Product Hunt. Together, these topics include over 101.5k products, making this a competitive space to launch in.
Who hunted Composer 2.5?
Composer 2.5 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Composer 2.5 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
More training scale, still aggressive pricing, and a better model for long-running coding work.
That is Composer 2.5 in a nutshell.
It continues from the same base as Composer 2, and this version is trained to be better at sustained work, complex instructions, communication style, and effort calibration inside Cursor.
Targeted textual feedback helps the model improve specific mistakes inside long rollouts, while 25x more synthetic tasks push it into harder coding problems grounded in real codebases.
Looking forward to the next larger model trained from scratch with 10x more compute!