Close the skill gaps your surveys never found.
Tunlai reads your codebase, pull requests, and incident data to build personalized upskilling paths. No guesswork. No surveys. Just signal from where engineers actually work.
Most L&D tools ask engineers what they want to learn. We read what your codebase actually needs.
Survey-based skill assessments reflect how engineers perceive their abilities — not where the real gaps are. Tunlai ingests your actual workflow data to surface what matters.
See the mechanism| Survey-based | Signal-based (Tunlai) |
|---|---|
| Engineers self-report skills | Observed from PR patterns & incidents |
| Runs once a year | Continuously updated from live data |
| Confident areas overreported | Blind spots surface automatically |
| Generic content catalog | Path tailored to your actual codebase |
| L&D guesses what engineers need | Engineering VP sees the data directly |
Three engines. One coherent picture of your team's skills.
From raw codebase signal to personalized paths, every layer works together.
Competency Graph
A live map of what your codebase demands and how each engineer measures against it. Built from PRs, reviews, and incident data — not self-assessments.
Learn morePath Engine
Generates personalized learning sequences for each engineer based on their current proficiency, your codebase's requirements, and real incident patterns.
Learn moreSkill Gap Analytics
Team-level and individual dashboards that give Engineering VPs and L&D managers a shared view of skill coverage, risk areas, and upskilling progress.
Learn morePlugs into the tools your team already uses.
Read-only OAuth connections. No code stored. Setup in under 30 minutes.
We ran surveys for years and thought we knew where our engineers were struggling. Tunlai showed us three skill gaps we'd never have found otherwise — all confirmed by two P1 incidents in the last quarter.
Director of Engineering, Financial infrastructure company
Ready to build learning paths from real data?
Connect your codebase and see your first competency graph in days, not weeks.