ProveDone
Prove your agent actually did the work
ProveDone launched on September 3, 2026 with 1 votes, #3,901 of 8,095 launches that month. The site was not reachable when checked in October 2026.
What it does
Two failure modes break unattended pipelines, and neither looks like an error. Silent failure: exits 0, produced nothing. False failure: the work finished, then cleanup crashed and it reported failure. ProveDone runs your command, then checks the artifacts on disk - existence, size, count, freshness, and whether this run actually created them. That last one is what everyone gets wrong. A stale artifact passes every naive "does the file exist" check ever written. No dependencies. Node 18+. MIT.
Your agent said it worked. Prove it.Two failure modes break unattended pipelines, and neither looks like an error: Silent failure - exits 0, produced nothing. You ship an empty day and find out later. False failure - finished the work, crashed on cleanup, reported failure. You re-run a 40-minute job that was already done. ProveDone runs your command, then checks the artifacts on disk and tells you
Does a similar job
all alternatives →
ReplicasJun 2026 · replicas.dev · ▲239Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…



Continue – Source-controlled AI checks, enforceable in CIFeb 2026 · docs.continue.dev · ▲44We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…
Mugiwara SecurityAug 2026 · dashboard-seven-self-13.vercel.app · ▲16Proves vulnerabilities before reporting them.
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