QA teams waste weeks writing and maintaining brittle end-to-end tests that break with every UI change
Software teams spend enormous time writing hardcoded Playwright/Selenium tests with XPath selectors and aria attributes that constantly break, require constant maintenance, and fail to catch real bugs before production. Current testing frameworks force engineers to manually script every interaction and assertion, making test creation tedious and expensive while AI-generated tests reinforce their own assumptions and produce low-quality coverage. As coding agents accelerate development velocity, the gap between code generation speed and test coverage widens, leaving teams shipping untested features.
Validation Scores
Overall Score: 49.2%
Payment Evidence (5)
Price Mention
Price mentioned: $2.67
From: Launch HN: Momentic (YC W24) – Agents that catch bugs by using your app
Price mentioned: $2.67
Payment Type Saas
Payment intent for saas: software, tool, app
From: Launch HN: Momentic (YC W24) – Agents that catch bugs by using your app
Payment Type Template
Payment intent for template: framework
From: Launch HN: Momentic (YC W24) – Agents that catch bugs by using your app
Payment Type Physical
Payment intent for physical: device
From: Launch HN: Momentic (YC W24) – Agents that catch bugs by using your app
Competitor Reference
Competitor mentioned: l bugs, though codex is a bit more precise at 86% vs 84%. the tradeoff is cost: mo costs $2.67 per bug vs $0.80 for codex, less than claude code and d
From: Launch HN: Momentic (YC W24) – Agents that catch bugs by using your app
Source Signals (1)
Hey HN, we’re Wei-Wei and Jeff. We’re building Momentic, QA agents that autonomously plan, explore, and bug-bash controls and user flows in your web, iOS, Android, and (soon) desktop apps to catch bugs. Here’s a demo: https://youtu.be/BFsM-Se1Fh8 We’re both software engineers that spent our careers ...
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Problem Details
- Category
- software_development
- Pain Keywords
- brittle test maintenance, hardcoded selectors breaking, low test coverage, manual QA bottleneck, end-to-end testing friction, change failure rate increasing, test generation overhead
- Signals Collected
- 1
- Created
- 2026-11-03 02:50