Global technology companies are increasingly looking for AI-native engineering teams that can integrate quickly, deliver production-ready systems, and support future AI expansion.
In this engagement, Axon partnered with CoderPush to rapidly extend their engineering capacity for a short-term but critical development initiative.
The problem
Axon needed to quickly extend their engineering capacity for a short-term product initiative.
However, several factors made the project complex:
- Tight delivery timeline: The project had a 4-month timeline, requiring engineers who could immediately contribute without a long ramp-up period.
- Parallel product squads: Two squads were responsible for different parts of the system. Any external team had to integrate seamlessly into existing workflows while maintaining clear ownership.
- AI-ready architecture requirements: Although the immediate goal was to build the core system, the architecture needed to remain flexible enough for future AI integrations.
- Clean handover to another team: The final system needed to be fully operational and well-documented, enabling a different team to continue development without disruption.
Axon required more than just additional developers – they needed a team of AI-native engineers capable of contributing to both implementation and architecture decisions.
What we built
CoderPush assembled a dedicated engineering squad of 5 mid-to-senior engineers, specializing in full-stack delivery, architecture decisions, and clean handover practices.
Engineering shape
- Full-stack Development (Golang, Javascript)
- Web & Mobile Engineering
- AI-ready System Architecture
- Data Flow Optimization
Result
- Full system delivered within 4 months
- Supported 2 product squads simultaneously
- Achieved 100% on-time delivery
- Seamless handover to the internal engineering team
- Architecture prepared for future AI expansion
Client Feedback
Axon highlighted the team’s ability to quickly adapt to new technologies and domain requirements, including systems related to future AI capabilities.
The partner particularly recognized the team’s ownership, independence, proactive technical contributions, and professionalism.