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For the complete documentation index, see llms.txt. This page is also available as Markdown.

Solutions

DRIVE engineering excellence with Cortex

Engineering teams using AI are shipping more code faster than ever, but speed without operational discipline creates compounding risk.

The solutions on this page are organized around DRIVE, a framework developed by Cortex's founders for measuring and improving organizational engineering effectiveness across five pillars: Delivery, Reliability, Initiatives, Vigilance, and Efficiency.

Learn more about DRIVE and why now is the time to put the right backpressure in place

D — DELIVERY

Are we shipping fast, and is it sustainable?

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DORA metrics

Turn DORA from a status report into an action loop. Track deployment frequency, lead time, change failure rate, and MTTR by team and use Initiatives to drive continuous improvement.

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Developer onboarding

Give new engineers a single place to find what they own, what's expected, and how to contribute. Set up automated environment provisioning, tool access, and onboarding checklists with Workflows.

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AI maturity

Track and drive AI tool adoption across your org. Use Scorecards to measure Copilot usage and coverage, automate access provisioning, and watch velocity metrics improve as adoption grows.

R — RELIABILITY

Are we delivering on our promises to customers?

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Production readiness

Define what "ready for production" means and enforce it automatically. Set Scorecard gates for ownership, alerting, and observability so compliance, reliability, and consistency are built in before go-live.

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Incident management and response

Give engineers instant access to service owners, runbooks, and incident history when things go wrong. Reduce MTTA and MTTR by making context available in seconds, not minutes.

I — INITIATIVES

Are our most important eng investments making progress?

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Migrations and modernization

Track org-wide migrations like framework upgrades, platform adoptions, and EOL dependencies with Scorecards and Initiatives. Create accountability, measure progress, and unblock stuck teams before deadlines slip.

V — VIGILANCE

Is security risk accumulating?

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AI governance

Enforce policies for how AI systems are built, deployed, and used. Define standards, measure compliance with Scorecards, and create automated checks that catch policy drift before it becomes a liability.

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AI readiness

Audit your org's readiness before AI accelerates code output. Ensure every service has clear ownership, test coverage, and security controls in place so AI is building on a stable foundation, not compounding existing debt.

E — EFFICIENCY

Are we spending time and money effectively?

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Unify governance and reduce sprawl

Replace manual compliance tracking with automated Scorecards. Get a real-time view of which services meet your security, operational, and quality standards and surface gaps before the audit.

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COMING SOON

Engineering cost and AI spend

Track cloud spend and LLM token costs by service and team. Surface over-provisioned infrastructure, identify runway AI agent spend, and measure how much capacity is going toward innovations versus keeping the lights on.

Looking for hands-on courses for each area listed above? Check out the Cortex Academy.

NextDRIVE framework

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