Bridge Assessments Launch
Evaluate applicants the way you would: by watching them work
Bridge Assessments Launch launched on April 24, 2026 with 2 votes, #4,561 of 21,248 launches that month.
What it does
Engineering Has Changed. Coding Tests Haven't. Bridge analyzes how candidates research, use AI, debug, and write code, not just whether tests pass. 1. Bridge turns your job description into a real life take home assessment. 2. Candidates complete it in their own environment while we record their screen and ask them questions. 3. Bridge analyses how they solved problems and uses agents to run and evaluate their final submission.
Coding tests for the modern era
Bridge analyzes how candidates research, use AI, debug, and write code, not just whether tests pass. Wrote a specific prompt with constraints and expected format; reviewed and edited the AI suggestion before using it. AI tools make passing coding tests easier than ever. What matters now is how engineers research, use AI, debug, and iterate. Bridge captures this entire workflow. Bridge analyzes how candidates prompt, iterate, and apply AI suggestions. Bridge captures how candidates reason about their solutions during the assessment. Bridge captures how candidates use documentation, examples, and resources while solving problems. Bridge captures how candidates run tests, identify failures,…from bridge-jobs.com
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MergeAug 2026 · mergeoa.com · ▲115We’re 5 founders who’ve collectively done over 250 interviews - everywhere from startups to Big Tech to quant shops. Most of the interviews we’ve done were Leetcode based or tested skills that weren’t used on the job. These days, with AI, assessments still continue to test code output. Meanwhile, at each of our companies, though, PR counts have nearly tripled. Most of us haven’t manually edited a line of code in a year. Our teams are putting more and more emphasis on code and architecture reviews, yet hiring processes haven’t changed whatsoever. Even the AI-assisted ones we’ve done still…
Weave2025 · app.workweave.ai · ▲237Hey HN, We’re building Weave: an ML-powered tool to measure engineering output, that actually understands engineering output! Why? Here’s the thing: almost every eng leader already measures output - either openly or behind closed doors. But they rely on metrics like lines of code (correlation with effort: ~0.3), number of PRs, or story points (slightly better at ~0.35). These metrics are, frankly, terrible proxies for productivity. We’ve developed a custom model that analyzes code and its impact directly, with a far better 0.94 correlation. The result? A standardized engineering output…
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Source: Product Hunt launch ↗
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