Checksum: Someone Has to Test All That Agent-Written Code
The uncomfortable math of coding agents: generation got 10x faster, verification did not. Checksum, which took #3 on Product Hunt with 201 upvotes and a 5.0 rating, sells itself as the missing half, an AI-native continuous testing platform that generates, runs and maintains end-to-end and API tests, positioned explicitly as your coding agent's testing buddy.
The architecture is two agentic loops. On every pull request, a generation agent detects what changed and writes or updates Playwright tests, no manual selector wrangling. When tests fail, a triage agent decides whether it is a real bug or a stale test broken by an intentional product change: real bugs route to Jira, Linear or Slack, stale tests get healed automatically. Checksum claims 70 percent of failures resolve without a human touching them, and early customers report 70 percent fewer bugs shipped with 30 percent faster cycles.
The detail that earns trust: tests live as standard Playwright code in your own repo. You can read them, edit them, and walk away with them if you cancel. In a category where most tools trap your test suite inside their platform, plain code in your repo is both a feature and a statement about who owns the verification layer.
The triage loop is the part worth copying. Flaky and stale tests are why teams abandon end-to-end testing, and "is this failure real" is a judgment call that used to consume engineer hours. Making that call the agent's job, with escalation only for real bugs, is the same harness pattern showing up everywhere this year: autonomy inside the loop, humans at the boundary.
https://www.producthunt.com/products/checksum-ai
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The architecture is two agentic loops. On every pull request, a generation agent detects what changed and writes or updates Playwright tests, no manual selector wrangling. When tests fail, a triage agent decides whether it is a real bug or a stale test broken by an intentional product change: real bugs route to Jira, Linear or Slack, stale tests get healed automatically. Checksum claims 70 percent of failures resolve without a human touching them, and early customers report 70 percent fewer bugs shipped with 30 percent faster cycles.
The detail that earns trust: tests live as standard Playwright code in your own repo. You can read them, edit them, and walk away with them if you cancel. In a category where most tools trap your test suite inside their platform, plain code in your repo is both a feature and a statement about who owns the verification layer.
The triage loop is the part worth copying. Flaky and stale tests are why teams abandon end-to-end testing, and "is this failure real" is a judgment call that used to consume engineer hours. Making that call the agent's job, with escalation only for real bugs, is the same harness pattern showing up everywhere this year: autonomy inside the loop, humans at the boundary.
https://www.producthunt.com/products/checksum-ai
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