[fireairforce]

Fix missing minified library output when inline CSS is enabled and source maps are disabled. Generated CSS injectors now inherit the module context's source map options.

Adds a native regression test and ecosystem coverage.

Validation: library tests, Father tests with the local fix, formatting, and Clippy passed.

[chatgpt-codex-connector]

Codex Review Summary: ✅ Completed

This comment shows the latest Codex review activity on this pull request.

Review	Status	Commit	Review trigger
📝 Code Review	✅ Completed 2026-11-12T03:12:58.855854Z	a31420c	PR opened

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[github-actions]

📊 Performance Benchmark Report (with-antd)

Utoopack Performance Report

Report ID: utoopack_performance_report_20261112_031916
Generated: 2026-11-12 03:19:16
Trace File: trace_antd.json (0.3GB, 0.88M spans)
Test Project: examples/with-antd

---

Executive Summary

Metric	Value	Assessment
Total Wall Time	6,321.7 ms	Baseline
Total Thread Work (de-duped)	19,595.4 ms	Non-overlapping busy time
Effective Parallelism	3.1x	thread_work / wall_time
Working Threads	10	Threads with actual spans
Thread Utilization	31.0%	⚠️ Suboptimal
Total Spans	879,559	All B/E + X events
Meaningful Spans (>= 10us)	214,205	(24.4% of total)
Tracing Noise (< 10us)	665,354	(75.6% of total)

---

Build Phase Timeline

Shows when each build phase is active and how much CPU it consumes.
Self-Time is the time spent exclusively in that phase (excluding children).

Phase	Spans	Inclusive (ms)	Self-Time (ms)	Wall Range (ms)
Resolve	44,751	6,144.3	1,626.8	3,168.5
Parse	8,162	1,362.1	1,024.8	5,489.2
Analyze	138,516	41,814.2	8,241.9	5,417.3
Chunk	5,445	5,003.2	773.6	2,112.1
Codegen	14,132	2,117.0	1,383.3	2,110.4
Emit	30	31.1	15.6	6.1
Other	3,169	10,370.6	4,870.1	6,321.7

---

Workload Distribution by Diagnostic Tier

Category	Spans	Inclusive (ms)	% Work	Self-Time (ms)	% Self
P0: Scheduling & Resolution	184,539	50,940.1	260.0%	10,384.2	53.0%
P1: I/O & Heavy Tasks	2,780	103.1	0.5%	87.6	0.4%
P2: Architecture (Locks/Memory)	0	0.0	0.0%	0.0	0.0%
P3: Asset Pipeline	25,577	8,432.4	43.0%	3,131.8	16.0%
P4: Bridge/Interop	0	0.0	0.0%	0.0	0.0%
Other	1,309	7,366.9	37.6%	4,332.4	22.1%

---

Top 20 Tasks by Self-Time

Self-time is the exclusive duration: time spent in the task itself, not in sub-tasks.
This is the most accurate indicator of where CPU cycles are actually spent.

Self (ms)	Inclusive (ms)	Count	Avg Self (us)	P95 Self (ms)	Max Self (ms)	% Work	Task Name	Top Caller
5,006.6	27,789.4	105,550	47.4	0.1	17.8	25.5%	module	module (65%)
2,832.9	3,227.6	19	149101.3	344.9	505.7	14.5%	save snapshot	persist (5%)
1,959.0	2,057.4	2,242	873.8	2.6	204.4	10.0%	analyze ecmascript module	module (77%)
1,247.1	11,926.5	30,693	40.6	0.1	5.6	6.4%	process module	process module (81%)
1,052.8	2,980.4	23,440	44.9	0.1	6.0	5.4%	internal resolving	internal resolving (74%)
960.5	1,297.7	5,990	160.3	0.6	41.4	4.9%	parse ecmascript	parse ecmascript (66%)
775.4	846.6	11,959	64.8	0.2	9.1	4.0%	precompute code generation	generate merged code (55%)
691.7	2,128.0	1,036	667.7	2.1	207.9	3.5%	generate merged code	chunking (62%)
596.3	4,715.2	4,118	144.8	0.2	40.5	3.0%	chunking	chunking (26%)
566.3	3,156.2	20,733	27.3	0.0	5.0	2.9%	resolving	module (56%)
513.2	2,848.1	1,422	360.9	0.2	95.7	2.6%	write all entrypoints to disk	write all entrypoints to disk (15%)
425.9	425.9	329	1294.5	0.9	273.1	2.2%	generate source map	code generation (83%)
407.0	407.0	11	37003.2	162.7	224.4	2.1%	blocking	save snapshot (55%)
374.4	777.9	134	2793.8	6.1	220.1	1.9%	emit code	emit code (42%)
182.0	844.5	1,844	98.7	0.2	52.1	0.9%	code generation	code generation (85%)
172.9	282.9	1,256	137.6	0.3	22.5	0.9%	compute async chunks	compute async chunks (46%)
64.3	64.3	2,170	29.6	0.0	3.1	0.3%	read file	parse ecmascript (91%)
24.5	155.7	438	55.8	0.1	3.0	0.1%	async reference	async reference (43%)
15.4	15.4	11	1397.5	4.4	4.7	0.1%	write file	apply effects (100%)
14.5	14.5	10	1450.5	6.1	8.0	0.1%	compute binding usage info	write all entrypoints to disk (20%)

---

Critical Path Analysis

The longest sequential dependency chains that determine wall-clock time.
Focus on reducing the depth of these chains to improve parallelism.

Rank	Self-Time (ms)	Depth	Path
1	730.1	3	persist → save snapshot → blocking
2	430.5	6	chunking → generate merged code → emit code → emit code → emit code → read file
3	329.3	2	save snapshot → blocking
4	323.1	4	chunking → generate merged code → emit code → generate source map
5	204.5	3	process module → process module → analyze ecmascript module

---

Batching Candidates

High-volume tasks dominated by a single parent. If the parent can batch them,
it drastically reduces scheduler overhead.

Task Name	Count	Top Caller (Attribution)	Avg Self	P95 Self	Total Self
process module	30,693	process module (81%)	40.6 us	0.07 ms	1,247.1 ms
internal resolving	23,440	internal resolving (74%)	44.9 us	0.09 ms	1,052.8 ms

---

Duration Distribution

Range	Count	Percentage
<10us	665,354	75.6%
10us-100us	135,300	15.4%
100us-1ms	67,475	7.7%
1ms-10ms	11,171	1.3%
10ms-100ms	219	0.0%
>100ms	40	0.0%

---

Action Items

1. [P0] Focus on tasks with the highest Self-Time — these are where CPU cycles are actually spent.
2. [P0] Use Batching Candidates to identify callers that should use try_join or reduce #[turbo_tasks::function] granularity.
3. [P1] Check Build Phase Timeline for phases with disproportionate wall range vs. self-time (= serialization).
4. [P1] Inspect P95 Self (ms) for heavy monolith tasks. Focus on long-tail outliers, not averages.
5. [P1] Review Critical Paths — reducing the longest chain depth directly improves wall-clock time.
6. [P2] If Thread Utilization < 60%, investigate scheduling gaps (lock contention or deep dependency chains).

Report generated by Utoopack Performance Analysis Agent