Scheduled reports
Anomalies daily, a summary weekly and trends monthly.
CI Optimization
Coming (phase 6)Years of CI waste nobody has time to find
CI/CD pipeline optimization from your own history: where your CI loses time and money, a ready-to-paste fix for your coding agent, and the result measured.
Find what your CI is wastingIllustrative. The workflows, figures and prompt in it are examples.
From years of runs to a faster pipeline.
Your CI history comes in
It reads your repository's CI history, its workflow configuration and its structure.
The bottlenecks light up
It maps each one to what OhMako offers, such as snapshots, warm pools, machine sizes, parallelism and caching, with its evidence, estimated savings, effort and confidence.
It writes the prompt
It writes a ready-to-paste prompt for your coding agent: what to change, where, and why.
Your agent applies it
Your coding agent makes the change and opens a pull request. Nothing changes until you merge it.
Before and after
Once the pull request lands, it benchmarks the runs after it against the runs before.
A later regression is caught
It keeps watching, and catches a regression against its baseline: in the weekly summary, or the same day as an anomaly.
How it works
Read-only by default.
By default it only reads: your CI history, workflow configuration and repository structure. The fix comes as a prompt for your coding agent, so a change reaches you as a pull request. It covers GitHub Actions and GitLab CI.
The skill
Start with the free skill.
The CI Optimization skill is free and open source, works in the coding agent you already use, and gives useful advice without an OhMako account.
Connect the OhMako MCP server and it reads your OhMako jobs, logs and spend too: what ohmako runner and ohmako usage show at a terminal.
Continuous CI intelligence
It keeps watching.
What they cover
Cost, duration, queue time, cache and snapshot efficiency, failures, retries and utilization.
Regressions caught
Each measure has a baseline, and the history says what saved how much and what regressed.
Where you read them
In the dashboard, by email, in Slack, or on GitHub and GitLab.
Price
The skill is free.
Where an analysis uses AI, it's billed at cost plus 20%.
Join the invite list
Tell us which products you want first. Invites go out in waves, product by product.
Find what your CI is wasting