WarpGrep
I review PRs all day and I've basically stopped reading them. Someone opens a 2000-line PR, I scroll, see it's mostly AI-generated React components, leave a comment, merge. I felt bad about it until I realized everyone on my team does the same thing. The problem is diffs are the wrong format. A PR might change how three buttons behave. Staring at green and red lines to understand that is crazy. The core reason we built this is that we feel that products today are built with assumptions from the past. 100x code with the same review systems means 100x human attention. Human attention cannot…
WarpGrep launched on December 9, 2025 with 114 votes, #271 of 11,628 launches that month and more than 95% of that year's launches.
In plain words
Morph records videos of AI testing pull requests by interacting with preview deployments and posts the footage directly in GitHub. It targets development teams struggling to review large, AI-generated code changes where traditional diffs are difficult to parse. Rather than reading thousands of lines, reviewers watch a video demonstrating how the changed code actually behaves, making it easier to spot issues and verify functionality.
written from the facts on this page · September 2026
From the sources
Introducing WarpGrep, a fast context subagent that improves coding agent performance. WarpGrep speeds up coding tasks 40% and reduces context rot by 70% on long horizon tasks by treating context retrieval as its own RL trained system. Inspired by Cognition’s SWE-Grep - we’re opening access to Claude Code, Codex, OpenCode or any coding agent via MCP (or through our SDK)
GLM-5.3 with 1M context on inference tuned for coding agents. Reflex classifiers that catch the failures traces miss. Plus the agent toolkit: search (WarpGrep), edits (Fast Apply), context (Compact). One OpenAI-compatible API.
Kimi K3 is #1 on Design Arena: Fable-tier, served at 100 tok/s. GLM-5.3 is Opus-tier with 1M context. Both on kernels tuned for agents, plus the open-weight lineup: Qwen, MiniMax, DeepSeek. Specialized models: WarpGrep for search. Fast Apply for applying edits at 10,500 tok/s. Compact at 33k tok/sec. “ At our build pace, the apply step was the bottleneck. Morph took it from seconds to instant. We tried every alternative. Nothing else hit that speed without wrecking accuracy. ” “ Our users build 100K+ line apps in a single session. The apply model gets hit thousands of times. Morph just runs in the background, no broken diffs, no babysitting. It just works. ” “ Before Morph, we just couldn't…from morphllm.com
In the maker’s words, at launch
I review PRs all day and I've basically stopped reading them. Someone opens a 2000-line PR, I scroll, see it's mostly AI-generated React components, leave a comment, merge. I felt bad about it until I realized everyone on my team does the same thing. The problem is diffs are the wrong format. A PR might change how…
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