Compare Generations

Quick Start

You'll typically receive two generation identifiers. Follow these steps:

1. Run tuist generate list --json to find generations on each branch.
2. Run tuist generate show <id> --json for both base and head generations.
3. Compare duration, status, and cache hit rates.
4. Summarize cache changes with root cause analysis.

Step 1: Resolve Generations

If base/head are generation IDs or dashboard URLs

Fetch each directly:

tuist generate show <base-id> --json
tuist generate show <head-id> --json

If base/head are branch names

List recent generations on each branch:

tuist generate list --git-branch <base-branch> --json --page-size 1
tuist generate list --git-branch <head-branch> --json --page-size 1

Then fetch full details with tuist generate 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 generations, compare:

Compute cache hit rates:

• Base: (localhits + remotehits) / cacheable_targets * 100
• Head: same formula
• Delta: headrate - baserate

Step 3: Analyze Cache Invalidation

If cache hit rate dropped, the key question is: which target(s) caused the invalidation cascade?

Cache invalidation typically works like this:

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

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.

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:

Generation Comparison: base (gen-123 on main) vs head (gen-456 on feature-x)

Duration: 12.5s -> 28.3s (+126%) -- REGRESSION
Cache hit rate: 92% (46/50) -> 64% (32/50) (-28%) -- REGRESSION
Status: success -> success

Root cause: FoundationModule had source changes (3 files modified).
This cascaded to 14 downstream targets that depend on FoundationModule.

Cache invalidation breakdown:
- Direct changes: FoundationModule (sources changed)
- Cascade: NetworkModule, AuthModule, UIModule, + 11 others (dependency hash changed)

Recommendations:
- Consider splitting FoundationModule into smaller modules to reduce cascade impact
- The 14 cascaded targets could benefit from more granular dependency declarations
- If FoundationModule changes frequently, consider interface/implementation module splitting

Done Checklist

• Resolved both base and head generations
• Compared duration and cache hit rates
• Identified root cause targets for cache invalidation
• Analyzed cascade impact
• Provided actionable recommendations for reducing cache misses