PipelineSpend
CI cost optimization

Reduce CI spend while preserving the proof your software needs

CI optimization is a verification problem as much as a compute problem. PipelineSpend currently focuses on GitHub Actions and uses evidence-backed read-only analysis before any future mutation or execution-control capability.

Read-only GitHub Audit No Audit-time CI mutation Unknown ≠ $0 Verified only from observed outcomes

Optimize cost per accepted change, not just price per minute

The relevant engineering cost includes duplicated jobs, obsolete verification, setup/runtime, queue delay, rework, and the price of remaining compute. A low per-minute rate does not help if agents repeatedly launch verification that could have been avoided or reused safely.

As software agents increase parallel change volume, proof coordination becomes increasingly important: independent work should verify in parallel, stale work should be detected before expensive CI, and equivalent proof should not be repeated without reason.

Evidence quality sets the optimization boundary

PipelineSpend records whether history and evidence are complete, bounded, or otherwise insufficient for a claim. Missing provider data, pricing, or policy information stays explicit. This prevents a sparse dataset from being presented as a confident cost recommendation.

Current scope: GitHub Actions read-only Audit

PipelineSpend's production product currently audits GitHub Actions read-only. Broader provider routing, managed runners, automatic cancellation, and check suppression remain separate future capabilities that require their own safety and economic evidence gates.

That narrower scope is deliberate: the first commercial value is identifying unnecessary work and making the evidence understandable without asking a customer to hand over CI mutation authority.

Measure your current CI before automating changes

Use PipelineSpend's GitHub Actions Audit to establish what is observed, what remains unknown, and which optimization classes are actually supported by evidence.

Audit a GitHub repository