Скачать или смотреть Meta Deletes Every Test It Writes (on purpose) - JiTTesting

Meta built an AI that writes 22,000 tests, finds bugs humans miss, and then deletes every single test. On purpose.

It's called JiTTests (Just-in-Time Tests) — and it catches 4x more bugs than traditional testing while reducing human review by 70%.

In this video, I break down exactly how it works — the 6-step pipeline, the mutation testing strategy, and the peer-reviewed results from FSE 2025.

⏱ TIMESTAMPS
0:00 — The problem with traditional testing
1:02 — Why your tests are lying to you
2:07 — Test debt at scale
2:33 — Meta's different approach: JiTTests
2:55 — Step 1: New code lands
3:04 — Step 2: LLM infers intent
3:23 — Step 3: Create mutants
3:40 — Step 4: Generate catching tests
4:00 — Step 5: Assessors filter results
4:24 — Step 6: Engineer gets notified (then test is deleted)
4:52 — The evidence (peer-reviewed numbers)
5:48 — 15% vs 2.4% — Targeted vs Coverage-only
6:11 — The counterintuitive finding
6:38 — Code walkthrough: Old Way vs New Way
7:25 — Five problems killed in one stroke
7:44 — Should you stop writing tests?
8:09 — Paper and resources

📄 RESOURCES
Research Paper: https://arxiv.org/abs/2601.22832
Meta Engineering Blog: https://engineering.fb.com/2025/02/05...

📊 KEY STATS FROM THE PAPER
4x more bugs caught vs traditional hardening tests
20x more effective vs coincidental test failures
70% reduction in human review load
22,126 tests analyzed across 7 Meta platforms
15% mutant kill rate (ACH) vs 2.4% (TestGen-LLM)
51% of generated tests also raised code coverage

🔗 CONNECT
YouTube:    / @ayyaztech  
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This video covers Meta's JiTTests system for automated test generation using large language models (LLMs). The system uses mutation testing, intent inference, and an ensemble of rule-based and LLM-based assessors to find real bugs in production code — then discards every test after use. Zero maintenance. Zero flaky test debt.

Presented at FSE 2025 (Foundations of Software Engineering), Trondheim, Norway.

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