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How to Improve Playwright Test Coverage Using Agent Context

Agent context expands Playwright test coverage by simulating richer user interactions.

Steady

19

signal score

as of 6d ago

Too early

trajectory — needs a few more snapshots

Why this scored 19

every term, weighted
Velocity+0.0 / 40 max

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+11.3 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities are talking about the same entity

Recency+7.9 / 10 max

Decays to zero over 14 days

Saturation penalty0.4 / 30 max

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite18.8

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)

Entities

playwright
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Drop this in a README or blog post — it updates automatically as the score moves.