THE AI TEAM AUGMENTATION GUIDE IS OUT NOW – GET YOUR FREE COPY!
Generative AI has changed how we build software. The tools work. Most teams already have access to them. Still, the same questions come up again and again among every tech leader we work with:
“Is my development team really using AI to reduce costs and speed up delivery?”
When companies try to answer this question and “implement AI” in engineering teams, we see a wide range of approaches. From ambitious, multi-day AI trainings promising transformation, to quickly hiring an AI expert who solves an immediate problem — often fast, but in isolation from the rest of the team. Across very different companies — sizes, industries, and tech stacks — this leads to the same underlying uncertainty. This is the uncertainty we wanted to understand and clear up.​​
At Bobcats Coding, we looked at what actually happens when engineering teams try to adopt AI in real projects. In our AI Team Augmentation Guide, we analyzed how teams typically approach AI adoption, where progress slows down, why well-intentioned efforts often fail to scale, and why we believe AI-native team augmentation can be the answer to accelerating AI adoption across engineering teams.
AI-NATIVE TEAM AUGMENTATION AS YOUR SOLUTION
We combine classic senior team augmentation with continuous, in-context AI learning.
How it works:
01 You augment your team with senior Bobcats developers
02 They take full ownership of operational delivery
03 At the same time, they coach and upskill your existing team, directly in your codebase
Each augmented senior engineer:
-
Codes 36 hours per week
-
Spends ~4 hours a week making short internal learning videos (2–3 minutes each) and setting up custom coding-agent configs, all aligned with the client’s tech lead (so we don’t drift into hype, we just support your tech leadership with everything we produce. ;))
-
Based entirely on your own codebase
-
Focused on practical AI usage in daily development
-
WHY EMBEDDED AI-NATIVE ENGINEERS WORK
Faster
delivery
AI is used inside everyday workflows, not as a side experiment
Lower long-term costs
AI knowledge spreads across the team instead of staying with a few specialists.
Teams that actually know how (and when not) to use AI
Developers learn by shipping real work in their own codebase.
Knowledge that stays inside your company
Practices are documented, reused, and built into how the team works, not tied to any one person.
WANT TO ACCELERATE YOUR TEAM WITH AI
THAT ACTUALLY WORKS?
GET A FREE 45-MINUTE AI-AUDIT!
During the call, we will:
-
quick-check how your team currently uses AI
-
look at where AI fits (and where it doesn’t) in your delivery workflow
-
identify a few realistic augmentation or improvement opportunities
​
You’ll leave the call with:
-
a clearer picture of your team’s AI maturity
concrete next steps you can act on -
no obligation to move forward