CodeInteliG: AI Engineering Analytics Platform for CTOs to Track Developer Productivity and Cost

Most CTOs don’t know where 40% of their engineering time actually goes. Hours get logged, commits pile up, standups happen — yet visibility into developer productivity and project efficiency remains low.

CodeInteliG changes that. It connects directly with your existing tools like GitHub and GitLab, automatically aggregating commits, pull requests, and reviews into a single engineering analytics dashboard. You instantly see who’s working on what, how long it takes, and where progress stalls.

Track the Metrics That Matter

CodeInteliG tracks key software delivery metrics — including code commits, cycle time, review delays, idle PRs, and rework rates — to automatically surface where your delivery flow breaks down. No manual tracking, no spreadsheets — just instant bottleneck detection.

Connect Productivity to Cost

By combining real-time activity data with developer cost models (hours, project budgets, and initiative spend), CodeInteliG quantifies the financial side of engineering work — revealing cost per feature, cost per repo, and ROI by project.

Now, engineering leaders can see how team performance directly impacts the bottom line.

Real-Time Developer Intelligence

Using advanced analytics, CodeInteliG converts raw development data into performance dashboards showing productivity trends, velocity, and efficiency over time. You don’t just see data — you see patterns and insights that drive better decisions.

Built for CTOs and Engineering Leaders

Every insight converges in an executive view: performance summaries, cost metrics, and bottleneck alerts — all designed to help leaders make confident, data-driven decisions backed by proof, not guesswork.

From code chaos to measurable impact — CodeInteliG brings clarity, accountability, and performance visibility to your entire engineering organization.

CodeInteliG
Stop Guessing. Start Knowing.