AI Coding Cost Efficiency
Pull requests keep going up. The cost per PR should go down.
Reads traces across all coding agent harnesses, finds where the tokens went, and opens the fix as a PR: a skill for the dev team, or a settings change for platform engineering.
WORKS WITH
66%
runs cheaper from reused memories
Near zero
tool-schema tokens loaded before first prompt
>90%
saved by batching tool calls
HOW It RUNS
Waste found in the transcripts, fixed in skills and config
Benchmarks your coding agents against real tasks pulled from your own team's sessions, tests cheaper models, effort levels and sidekick setups side by side before any of them go live, and cuts cost per task without slowing engineers down or breaking builds.
Adoption keeps growing, cost per task keeps falling
Adoption keeps growing, cost per task keeps falling
Experimentation
Cost
ROI
Without Autoheal
Switching models or cutting budgets is a guess with no way to check it first. Builds fail, bugs slip through, engineers complain.
Engineers love the coding agents, pull requests go up, and so does the bill, sometimes past the cloud bill.
The CFO asks about ROI and all you can point to is more pull requests.
With Autoheal
Real tasks from your own coding sessions become a benchmark. Any model, effort level or agent setup is tested side by side before it goes live.
Same accuracy at medium effort cuts cost per task 30%. Adding a smaller sidekick model for routine work cuts another 10% with no accuracy impact.
Every setup is scored on tasks right, cost and time, so you can show exactly what a change bought, and Autoheal keeps testing as models evolve.
Experimentation
Switching models or cutting budgets is a guess with no way to check it first. Builds fail, bugs slip through, engineers complain.
Real tasks from your own coding sessions become a benchmark. Any model, effort level or agent setup is tested side by side before it goes live.
Cost
Engineers love the coding agents, pull requests go up, and so does the bill, sometimes past the cloud bill.
Same accuracy at medium effort cuts cost per task 30%. Adding a smaller sidekick model for routine work cuts another 10% with no accuracy impact.
ROI
The CFO asks about ROI and all you can point to is more pull requests.
Every setup is scored on tasks right, cost and time, so you can show exactly what a change bought, and Autoheal keeps testing as models evolve.
Experimentation
Switching models or cutting budgets is a guess with no way to check it first. Builds fail, bugs slip through, engineers complain.
Real tasks from your own coding sessions become a benchmark. Any model, effort level or agent setup is tested side by side before it goes live.
Cost
Engineers love the coding agents, pull requests go up, and so does the bill, sometimes past the cloud bill.
Same accuracy at medium effort cuts cost per task 30%. Adding a smaller sidekick model for routine work cuts another 10% with no accuracy impact.
ROI
The CFO asks about ROI and all you can point to is more pull requests.
Every setup is scored on tasks right, cost and time, so you can show exactly what a change bought, and Autoheal keeps testing as models evolve.
PLATFORM
Runs where you run, on the harness and models you approve
Runs on the same platform as the Incident Response, Release Readiness and Vulnerability Remediation agents, inside your boundary and on models you have approved.
Bring your own harness
Use the built-in harness or the coding agents your teams already run, with traces normalized across all of them.
Bring your own models
Route each task to the right model from your approved list, with a separate default for subagents and an allowlist that holds.
Invoke it from where the team works
Nightly on a schedule, from the CLI, over MCP, or from Slack and Teams, with traces exported where you want them.
Enterprise-grade security and control, built for complex, regulated industries
Granular permissions, full audit trails, and compliance that meets all security needs, engineered for teams with zero margin for error.
Sovereign deployments
Deploy as SaaS, hybrid, or fully air-gapped in your own cloud. Control where harnesses and sandboxes run, using pre-approved models.
Governance policies
Every agent runs in isolated environments, with access to tools by policy. Set per-agent budgets and approval gates for every action.
Audit trails
Every action, decision, and change is logged, versioned, and reviewable - so teams can trace exactly what happened, when, and why.
Least-privileged integrations
Agents connect to your systems with only the access required for the task. Credentials are scoped, temporary, and never over-permissioned.
ISO 27001
SOC 2
TYPE 2
SOC 2 Type II
Zero Data Retention
Enterprise-grade security and control, built for complex, regulated industries
Granular permissions, full audit trails, and compliance that meets all security needs, engineered for teams with zero margin for error.
Sovereign deployments
Deploy as SaaS, hybrid, or fully air-gapped in your own cloud. Control where harnesses and sandboxes run, using pre-approved models.
Governance policies
Every agent runs in isolated environments, with access to tools by policy. Set per-agent budgets and approval gates for every action.
Audit trails
Every action, decision, and change is logged, versioned, and reviewable - so teams can trace exactly what happened, when, and why.
Least-privileged integrations
Agents connect to your systems with only the access required for the task. Credentials are scoped, temporary, and never over-permissioned.
ISO 27001
SOC 2
TYPE 2
SOC 2 Type II
Zero Data Retention
Enterprise-grade security and control, built for complex, regulated industries
Granular permissions, full audit trails, and compliance that meets all security needs, engineered for teams with zero margin for error.
Sovereign deployments
Deploy as SaaS, hybrid, or fully air-gapped in your own cloud. Control where harnesses and sandboxes run, using pre-approved models.
Governance policies
Every agent runs in isolated environments, with access to tools by policy. Set per-agent budgets and approval gates for every action.
Audit trails
Every action, decision, and change is logged, versioned, and reviewable - so teams can trace exactly what happened, when, and why.
Least-privileged integrations
Agents connect to your systems with only the access required for the task. Credentials are scoped, temporary, and never over-permissioned.
ISO 27001
SOC 2
TYPE 2
SOC 2 Type II
Zero Data Retention
Enterprise-grade security and control, built for complex, regulated industries
Granular permissions, full audit trails, and compliance that meets all security needs, engineered for teams with zero margin for error.
Sovereign deployments
Deploy as SaaS, hybrid, or fully air-gapped in your own cloud. Control where harnesses and sandboxes run, using pre-approved models.
Governance policies
Every agent runs in isolated environments, with access to tools by policy. Set per-agent budgets and approval gates for every action.
Audit trails
Every action, decision, and change is logged, versioned, and reviewable - so teams can trace exactly what happened, when, and why.
Least-privileged integrations
Agents connect to your systems with only the access required for the task. Credentials are scoped, temporary, and never over-permissioned.
ISO 27001
SOC 2
TYPE 2
SOC 2 Type II
Zero Data Retention
PLATFORM
Runs where you run, on the harness and models you approve
Runs on the same platform as the Incident Response, Release Readiness and Vulnerability Remediation agents, inside your boundary and on models you have approved.
Bring your own harness
Use the built-in harness or the coding agents your teams already run, with traces normalized across all of them.
Bring your own models
Route each task to the right model from your approved list, with a separate default for subagents and an allowlist that holds.
Invoke it from where the team works
Nightly on a schedule, from the CLI, over MCP, or from Slack and Teams, with traces exported where you want them.
Bring your agents in line, and go from chaos to clockwork
Every run makes the next one better. See it on your stack.
Bring your agents in line, and go from chaos to clockwork
Every run makes the next one better. See it on your stack.
Bring your agents in line, and go from chaos to clockwork
Every run makes the next one better. See it on your stack.
Bring your agents in line, and go from chaos to clockwork
Every run makes the next one better. See it on your stack.