CoderPush
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.

60+Clients across high-stakes industries
80+Senior product and engineering staff
AWS GenAICloud and AI delivery partner
Trust Signals

Proof visitors can recognize before a call.

AWS Partner AI badgeAWS Partner AI
AWS Partner Services badgeAWS Partner Services
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MB Bank logo
Sleek logo
TPBank logo
Lemonade logo
Axon Vietnam logo

These signals stay deliberately concrete: partner badges, public case-study clients, and product references that can be inspected before the first scoping conversation.

Delivery Proof

What has to exist before an AI system ships.

Workflow map before model choice

User decision, data path, approval point, and failure mode are explicit before implementation expands.

Eval set and acceptance checks

The first release has known quality signals instead of demo-only confidence.

Guardrails and rollback paths

Human review, permissions, logging, and fallback behavior are treated as launch scope.

Operational metrics after launch

Adoption, reliability, latency, cost, and value stay visible after the system ships.

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.