Replit and Hexaware use Azure to run agent-driven, natural-language software creation
Replit expanded its agent-driven software creation platform into large enterprises and used Microsoft Azure as the cloud foundation for secure, compliant, scalable deployment. Hexaware adopted the platform so employees across non-engineering roles could create, deploy, and own software with natural language while keeping governance and security controls.
- Organization
- Replit
- Industry
- Tech & Comms
- Location
- United States
- Published
- December 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Replit, Hexaware
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- Microsoft Customer Story
No explicit deployment-stage evidence found.
Primary read
Use case focus
Showing 3 of 3
- 1AI agents
- 2Workflow automation
- 3Employee productivity
- Replit's AI agent interprets natural language requests, architects solutions, provisions Azure resources, writes and tests code, and deploys apps with one click.
- Azure provides the enterprise foundation with compliance, security, governance, scale, Azure OpenAI, Microsoft Foundry, Azure Container Apps, Azure Compute, Azure DDoS for Network Security, and Microsoft Marketplace distribution.
- Replit claims development cycles compress from weeks or months to minutes.
- Hexaware employees across roles can build, deploy, and own software, enabling faster prototyping and production-grade apps.
- Microsoft Marketplace accelerates procurement and go-to-market with enterprise customers.
Architecture
Replit's natural-language development platform uses Azure as the enterprise cloud foundation. The agent interprets requests, architects solutions, provisions Azure resources, writes, tests, and debugs code, and deploys applications with one click. The article also cites Azure OpenAI, Microsoft Foundry, Azure Container Apps, Azure Compute, Azure DDoS for Network Security, and Microsoft Marketplace as part of the integration and distribution model.
Sources & evidence1
- Customer explicitly identified
- Primary source available
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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