Production AI engineering

AI pilots are easy. Production is where the work starts.

We have seen where AI work stalls. CoderPush turns pilots into workflow-integrated software with evals, guardrails, data plumbing, and adoption built in.

Scope an AI Product Hire AI Engineers

60+Clients across high-stakes industries

80+Senior product and engineering staff

AWS GenAICloud and AI delivery partner

Services

Clear ways to work with CoderPush.

Team

Hire AI Engineers

Add senior AI-native engineers who can work inside your repo and own production outcomes.

Product

Build AI Products

Move a pilot into a release with workflow design, evals, data integration, and delivery discipline.

Ops

Modernize Workflows

Replace manual operations with reliable internal tools, data surfaces, and human-reviewed AI systems.

How We Help

Move from AI ambition to operating software.

+Start from the workflow, not the model demo

+Validate with evals before production promises

+Design guardrails, rollback paths, and human review

+Keep senior product and engineering judgment close to the code

+Track adoption, reliability, latency, cost, and value

Proof

Products and platforms with real operating stakes.

Case

TPS Securities

AI assistant patterns for investor workflows and financial product UX.

Case

MB Bank

Banking and fintech delivery where reliability, security, and product adoption matter.

Case

Sleek

Digital corporate-secretary platform work for operational flows and customer experience.

View Case Studies

Latest Thinking

Guides for AI product and engineering leaders.

01AI on AWS: How to Build Scalable AI Systems That Work in Production 02Why AI-First Does Not Mean Much Anymore 03How to Hire AI Engineers in Vietnam

Start here

Bring the pilot, risk, and business goal.

A senior operator will help decide whether the next step is a production AI sprint, an embedded engineer, an audit, or no-build advice.

Talk to CoderPush Explore AI Product