Hire AI Engineers
Add senior AI-native engineers who can work inside your repo and own production outcomes.
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
Services
Clear ways to work with CoderPush.
Senior-led embedded capacity
AI Product Development
Move a pilot into a release with workflow design, evals, data integration, and delivery discipline.
Presight / Promvis
Deploy verified analytics and operating workflows that stay grounded in governed business data.
Agentic Development
Embed multi-agent workflows, evals, and review loops into real product and engineering delivery.
Cloud Transformation
Modernize cloud, data, and AI infrastructure with production reliability and cost discipline.
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.
Proof
Products and platforms with real operating stakes.
TPS Securities
Investor workflow and AI assistant patterns for a financial product surface.
Regulated workflowMB Bank
Banking and fintech delivery where reliability, security, and product adoption matter.
High-trust systemsSleek
Digital corporate-secretary platform work for operational flows and customer experience.
Workflow productLatest Thinking
Guides for AI product and engineering leaders.
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.