Backfill test coverage
Point Operator at an untested module and it writes the suite — proration maths, edge cases, zero-day trials — then proves it green. +591 lines, 94% branch coverage.
Not prompts — tickets. The kind of work that sits in your backlog, fragile or time-consuming, that an operator can own end-to-end: from reading the code to opening the PR.
Point Operator at an untested module and it writes the suite — proration maths, edge cases, zero-day trials — then proves it green. +591 lines, 94% branch coverage.
Audit the aliases and env shims, swap the config, fix the dynamic-import chunks, update the CI caches. Cold start drops from 14s to 0.8s — PR #2048 merged.
Scaffold the endpoint, verify the signature, map invoice.paid and charge.failed onto your subscription state — then replay events to confirm it holds.
Operator reproduces the intermittent failures and names the root causes — a race in useAuth, a locale-bound snapshot, a port collision — then quarantines all three.
Hand over a brief at midnight, wake to a deployed demo — scaffolded app, auth, database schema, streaming UI and smoke tests. Live by 09:00, eight hours elapsed.
Fourteen packages bumped to clear the advisory — express, semver, path-to-regexp and more — with zero breaking changes and the suite still green.
Six concrete tasks, each run by a Kaer operator on a real codebase. Same operator, different deliverable.
Every scenario runs the same loop: Operator reads your codebase, plans the change, writes the code, runs the tests, and opens a pull request. You review the diff, not the process.
Language-agnostic and framework-agnostic. Operator reads your code, follows your conventions, and runs your CI — no migration, no lock-in.
Tell us what it is — we'll show you what Kaer can do with it before you commit to anything.
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