Here's a demo video: https://www.youtube.com/watch?v=LdT8epGHJPk.
Why? AI spits out code that can’t reliably be inserted into existing code. Full file rewrites, brittle search-and-replace hacks are too slow, expensive, or error-prone.
Morph's approach:
- Your agent outputs edits “lazily”, referencing unmodified lines in the existing file (ex: // ...existing code...)
- Morph instantly applies these edits to a file using our Fast Apply model + speculative decoding against the original file, making AI patches fast, reliable, and production-ready.
This approach was pioneered by Cursor last year, but their models aren’t available as APIs—so we built Morph for developers everywhere (with a large free tier!)
Live demo (no signup): https://morphllm.com/dashboard and docs: https://docs.morphllm.com/quickstart
We have 2 Fast Apply models: morph-v3-fast - 4500+ tok/sec, and morph-v3-large - 2500+ tok/sec. These models power Fast Apply at create.xyz, databutton, continue.dev, and more!
We also provide retrieval models for embedding + reranking. Next Up: Inline Edit Model (Cmd-K): Extremely fast inline edits - keep dev flow state; and Morph Tab API: Our Next Edit Prediction model guesses your next code edit + action with sub-500ms latency. It's currently in private beta, but you can request early access here: https://morphllm.com/tab
Hot takes:
1) Raw inference speed matters more than incremental accuracy gains for dev UX—agree or disagree?
2) Full-file rewrites by frontier models are legacy—Fast Apply edits win on speed, cost, reliability.
3) As benchmarks on narrow tasks saturate to 99%+, complexity is shifting from single frontier models to specialized inference-optimized models. As frontier models move upmarket, they'll leave simple tasks behind, and they'll be used to do tasks only frontier models can do
We’d love to hear your ideas and experiences with coding agents!