Agentic CI with a known cost before every run
Promigence gives every agentic CI job a warm environment forked from a verified snapshot of your repo, so an agent starts at a built tree rather than at a git clone. Most of an agent-heavy CI bill is repeated setup. Forking removes it, and a quote before each run keeps the monthly number predictable.
Who this is for: Platform teams running coding agents against their own repositories in CI.
end to end, through the CLI
warm fork on the box
forks in six hours, zero failures
Three things that are true of almost every team doing this
Setup is most of the job
A five-minute agent task behind a ninety-second install is 30% overhead, paid on every job.
The bill scales with enthusiasm
Agentic CI usage grows the moment it works, and per-second billing means the finance conversation happens afterwards.
Flaky environments look like flaky agents
A dependency that fails to resolve at 3am produces a red build nobody can attribute, and trust erodes in the agent rather than the fleet.
With Promigence underneath
A snapshot per branch, rebuilt when the lockfile moves
So most pushes start from a snapshot that is already built and verified.
Quote and cap per pipeline
Every workflow knows its ceiling before it starts, and a runaway loop is refused rather than invoiced.
Environment failures show up as environment failures
Red builds get a cause attached, which is the only way an agent-driven pipeline keeps anyone's trust.
- name: Agent pass on the PR
run: |
promigence run \
--snapshot app --secret ANTHROPIC_API_KEY \
--count 1 --cap 0.50 --timeout 10m --json \
-- sh -c "cd /work/repo && git fetch -q origin ${GITHUB_SHA} && git checkout -q ${GITHUB_SHA} && claude -p 'fix the failing tests in this diff'"
env:
PROMIGENCE_API_KEY: ${{ secrets.PROMIGENCE_API_KEY }}
Run your own workload on it, free
Send a repo and the command you run against it, whatever that is: an eval suite, an RL rollout, a CI job, a queue of coding tasks. We build the environment once, run it a thousand times, and send back the timings, the failures and an exact price. Free, once, on your real workload.
- 1,000 runs of your own command, on your own repo
- What each one cost in wall clock, and anything that failed
- Whether a failure was your code or the environment
- An exact price for your real volume
Not ready to hand over a repo? Read the quickstart or check the numbers first.