As companies expand globally and work with distributed teams, compliance becomes more complex. Different countries have their own regulations on data privacy, employment, and…
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Foundations of Team Extension
Choosing the Right Team Extension Partner
Selecting a Team Extension partner is a strategic decision that can significantly affect project outcomes. The right partner does more than supply developers; they…
AI & Data Engineering
Scaling Data Pipelines with External Expertise
Data has become the lifeblood of competitive businesses, but building and maintaining scalable data pipelines is a challenge for many organizations. Internal teams often…
Regional Talent & Future Outlook
Georgia: Why This Small Country Produces World-Class Engineers
Georgia is quickly gaining attention as a rising technology hub. Known for its strategic location between Europe and Asia, the country has invested heavily…
Operating Model & Delivery
Measuring ROI in Team Extension Engagements
Team Extension offers companies flexibility and access to talent, but measuring its return on investment is crucial to proving its value. Unlike traditional hiring,…
Compliance
Protecting IP and Data in the framework of Team Extension
Working with distributed teams opens new opportunities for scaling development, but it also creates new security considerations. Intellectual property and sensitive data must be…
Foundations of Team Extension
When to Use Team Extension vs. Traditional Hiring
Choosing between hiring full-time employees and extending your team can be a difficult decision for technology leaders. Both approaches have benefits, but the right…
Regional Talent & Future Outlook
The Balkans: Europe’s Overlooked Tech Talent Hotspot
The Balkans are quietly becoming one of Europe’s most promising sources of technology talent. Countries such as Serbia, Bulgaria, and Bosnia and Herzegovina have…
Operating Model & Delivery
How to Keep Velocity High When Scaling Teams
Scaling development teams often leads to slower delivery rather than faster output. Communication overhead grows, onboarding takes time, and coordination becomes more complex. Maintaining…
AI & Data Engineering
From Proof of Concept to Production AI
Many AI initiatives stall after the proof-of-concept phase. Models work in a lab setting but never make it into production where they can deliver…