compare-cache-runs
Compares two `tuist cache` runs to identify cache hit rate changes and root-cause analysis of cache invalidation. Can be invoked with cache run IDs, dashboard URLs, or branch names.
What this skill does
# Compare Cache Runs ## Quick Start You'll typically receive two cache run identifiers. Follow these steps: 1. Run `tuist cache-run list --json` to find cache runs on each branch. 2. Run `tuist cache-run show <id> --json` for both base and head cache runs. 3. Compare duration, status, and cache hit rates. 4. Summarize cache changes with root cause analysis. ## Step 1: Resolve Cache Runs ### If base/head are cache run IDs or dashboard URLs Fetch each directly: ```bash tuist cache-run show <base-id> --json tuist cache-run show <head-id> --json ``` ### If base/head are branch names List recent cache runs on each branch: ```bash tuist cache-run list --git-branch <base-branch> --json --page-size 1 tuist cache-run list --git-branch <head-branch> --json --page-size 1 ``` Then fetch full details with `tuist cache-run show <id> --json`. ### Defaults - If no base is provided, use the project's default branch (usually `main`). - If no head is provided, detect the current git branch. ## Step 2: Compare Top-Level Metrics After fetching both cache runs, compare: | Metric | What to check | |---|---| | `duration` | Flag if head is >10% slower | | `status` | Flag if base succeeded but head failed | | `cacheable_targets` | Note if target count changed | | `local_cache_target_hits` | Compare local hit counts | | `remote_cache_target_hits` | Compare remote hit counts | | `is_ci` | Note if one is CI and the other local | Compute cache hit rates: - Base: `(local_hits + remote_hits) / cacheable_targets * 100` - Head: same formula - Delta: `head_rate - base_rate` ## Step 3: Analyze Cache Invalidation If cache hit rate dropped, the key question is: **which target(s) caused the invalidation cascade?** Cache invalidation in `tuist cache` works the same way as in `tuist generate`: 1. A "root cause" target has a direct change (source file modified, build setting changed, etc.) 2. All targets that depend on the root cause target also get invalidated because their `dependencies` hash changes. 3. This cascade can invalidate many targets from a single root change. ### Identifying root cause targets Without the module cache target detail endpoint (available via MCP), use these heuristics: 1. Check `git diff` between the base and head commits to see which files changed. 2. Map changed files to their Tuist targets/modules. 3. Targets with direct source changes are likely root causes. 4. Targets that only changed due to dependency hash cascading are secondary invalidations. ### Common root causes of cache invalidation | Cause | Description | |---|---| | Source changes | Files in the target's source directory were modified | | Resource changes | Assets, XIBs, storyboards, or other resources changed | | Build settings | Target or project build settings were modified | | Dependency changes | An external dependency version changed | | Info.plist changes | The target's Info.plist was modified | | Entitlements changes | The entitlements file was modified | | Deployment target | The minimum deployment target changed | | Headers | Public or project headers changed | | Project settings | Shared project-level settings changed | ## Step 4: Assess Impact Categorize the cache invalidation: - **Expected**: Source files were intentionally changed, causing expected cache misses. - **Unexpected**: No source changes but cache was invalidated (build settings, Xcode version, etc.). - **Cascade**: A small change invalidated many downstream targets. For `tuist cache` specifically, also consider: - Cache warming strategy: Was the cache run warming from scratch or incrementally? - The `command_arguments` field can reveal if different flags were used. ## Summary Format Produce a summary with: 1. **Overall verdict**: Cache hit rate improved, regressed, or stable. 2. **Cache hit rate**: Base rate vs head rate with delta. 3. **Duration**: Absolute and percentage change. 4. **Root cause targets**: Which targets had direct changes. 5. **Cascade impact**: How many targets were invalidated due to dependency cascading. 6. **Recommendations**: How to minimize cache invalidation. Example: ``` Cache Run Comparison: base (run-123 on main) vs head (run-456 on feature-x) Duration: 95.2s -> 142.8s (+50%) -- REGRESSION Cache hit rate: 88% (44/50) -> 60% (30/50) (-28%) -- REGRESSION Status: success -> success Root cause: CoreModule had source changes (5 files modified). This cascaded to 14 downstream targets that depend on CoreModule. Cache invalidation breakdown: - Direct changes: CoreModule (sources changed) - Cascade: UIKit, Networking, Analytics, + 11 others (dependency hash changed) Recommendations: - Consider splitting CoreModule into smaller, more focused modules - Use interface/implementation module pattern for frequently-changed modules - Run `tuist cache` on the feature branch after rebasing to warm caches ``` ## Done Checklist - Resolved both base and head cache runs - Compared duration and cache hit rates - Identified root cause targets for cache invalidation - Analyzed cascade impact - Provided actionable recommendations for reducing cache misses
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