Skills intelligence for engineering leaders.
Research and perspective on skill gap analysis, competency frameworks, and the engineering workflow data your organization is already producing — PR patterns, incident postmortems, ticket escalation chains — that most L&D programs never read.
Rolling Out Adaptive Learning at Enterprise Scale: A Checklist for Engineering Leads
Adaptive learning programs fail when they're treated as a training initiative instead of an engineering initiative. Here's the rollout checklist we built from working with real teams.
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Bridging the Gap Between L&D Managers and Engineering Teams
A framework for building shared language around skills development across organizational boundaries.
What Jira Ticket Patterns Tell You About Skill Distribution
Ticket assignments and escalation chains contain information about where skills are concentrated — and dangerously thin.
Scaling Technical Onboarding When Your Codebase Outgrows Your Documentation
Adaptive paths built from codebase signal solve what wikis can't.
Upskilling vs. Hiring: How to Make the Call Faster
Senior roles take 4–6 months to fill. If the gap is learnable in 6 weeks, hiring is the expensive path.
Using GitHub Data Responsibly for Employee Development
Exactly what Tunlai reads, what it ignores, and why read-only OAuth scopes matter.
Personalized Learning Paths vs. Content Catalogs
A content catalog answers 'what could engineers learn?' A path engine answers a different question entirely.
Measuring Time to Proficiency: A Practical Guide
The most useful metric engineering leaders rarely measure. Three approaches — from simple to rigorous.
How to Defend Your L&D Budget to an Engineering VP
Engineering VPs want impact metrics, not training completion rates. Here's the language that lands.
What PR Review Patterns Reveal About Your Team's Skill Gaps
Review comments are a map of where junior engineers are struggling. Tunlai reads that map at scale.
Turning Incident Postmortems into Learning Signals
Every P1 incident contains a skills gap signal. Most L&D teams never see it.
Building a Competency Graph for Your Engineering Team
A competency graph isn't a skills matrix spreadsheet. It's a live model of what your codebase actually demands.
Why Skill Surveys Lie (And What to Read Instead)
Self-reported skill data is systematically biased. Your incident log is actually telling you the truth.