Product Engineering
Build innovative, scalable commerce and enterprise products — from MVP pilots to full enterprise deployments — using AI-augmented engineering pods with Cursor, GitHub Copilot and Claude Code.
AI-Augmented Development
Every engineer uses Cursor, GitHub Copilot and Claude Code — achieving 40% faster release cycles and 2.5× the output of traditional engineering teams.
Full-Stack MERN + PostgreSQL
React, Node.js, MongoDB/PostgreSQL, REST/GraphQL APIs — modern cloud-native stacks deployed on Azure, AWS or Oracle Cloud.
Agile Sprints with Transparency
2-week sprints · Linear AI for planning · Full CI/CD automation · Weekly reporting · Transparent KPIs and sprint velocity dashboards.
Quality Built In
Mabl automated testing · Code review with AI assistance · Security scanning · Performance testing — 70% reduction in manual QA effort.
Tech Stack
React · Next.js · Node.js · PostgreSQL · MongoDB · REST/GraphQL · Activepieces · n8n · Docker · Kubernetes · AWS · Azure · Oracle OCI
Engagement
Dedicated product engineering pods of 4–8 engineers · Monthly retainer or fixed-scope milestones · GCC-backed delivery at 55% cost saving vs. US/UK onshore.
Frequently asked questions
What does Cnetric offer for Product Engineering & AI-Native Engineering Pods?
Cnetric brings product design, software engineering, AI and quality assurance together in focused pods to build and evolve digital products.
How is a Product Engineering & AI-Native Engineering Pods engagement scoped?
The scope starts with your business objectives, existing systems, data and delivery requirements. Cnetric can then propose discovery, implementation or ongoing delivery activities appropriate to the project.
How do I discuss Product Engineering & AI-Native Engineering Pods with Cnetric?
Email sales@cnetric.com or use the Contact page. Share your business objectives, current systems and intended timeline so the team can discuss a suitable engagement.