Reaper AI automatically deletes dead code from iOS apps using Reaper SDK data. It uses an LLM to generate code changes and opens GitHub pull requests through the Emerge Tools AI GitHub App.
Reaper AI is a Developer Tools automation product from Emerge Tools that automatically deletes dead code from iOS apps using runtime data captured by the Reaper SDK, with pricing available on an Enterprise basis. It is built for iOS engineering teams at scale who want to systematically reduce binary size, app launch time, and maintenance overhead by removing unused classes, protocols, and assets.
The tool sits on top of the broader Emerge Tools platform, which spans Size Analysis, Snapshot Testing, Build Distribution, Launch Booster, and Performance Analysis. Once the Reaper SDK has collected real-world dead code data from production traffic, engineers select the unused types they want to remove inside the Emerge Tools UI. Reaper AI then uses an LLM to generate the actual source-code modifications and routes them through the Emerge Tools AI GitHub App, which opens a single consolidated pull request containing every deletion. Beyond dynamic analysis, Reaper AI also statically detects protocols with zero conformances in the binary and can automatically re-encode and recompress images flagged by the Size Analysis insight engine.
Based on our analysis of 870+ AI tools in the directory, Reaper AI occupies a narrow but high-value niche: most AI coding assistants help you write new code, while Reaper AI is one of the very few that focuses purely on deletion driven by production telemetry. Compared to general-purpose dead-code linters like Periphery or SwiftLint, Reaper AI combines runtime evidence with LLM-driven refactoring and PR automation, which is meaningful for large iOS apps where static analysis alone produces too many false positives. The trade-off is that it is iOS-only at launch, requires source-code access via a GitHub App, and is gated behind Emerge Tools' Enterprise pricing tier rather than a self-serve plan.
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Engineers select unused types surfaced by Reaper SDK telemetry inside the Emerge Tools UI, and an LLM generates the actual Swift/Objective-C source modifications to remove them. This goes beyond flagging code and into producing committable changes, which is a step most dead-code tools stop short of.
All deletions from a given run are bundled into one pull request opened by the Emerge Tools AI GitHub App. This keeps review overhead low and means a cleanup of dozens of types can be approved, CI-tested, and merged as a single atomic change.
Beyond dynamic Reaper data, Reaper AI statically analyzes the app binary for protocols that have zero conformances. This catches a class of dead code that pure runtime telemetry can miss, since unused protocol declarations never get exercised at runtime in the first place.
Images surfaced by the Size Analysis Optimize Images insight can be re-encoded to the best format and recompressed automatically as part of a Reaper AI run. This lets teams ship asset-size wins through the same PR workflow used for code removal.
After each Reaper AI run, the dashboard shows a simple summary of the lines removed along with a link to past runs. This gives platform teams an audit trail of what was deleted and helps quantify the binary-size and code-health impact over time.
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