Built a Full-Stack Field Ops Platform in Weeks: AI Code Generation for an Energy Company
Industry
Energy & Utilities | Project Type: New Application Development
Sanciti AI Agents: RGEN, CodeGen | TestAI for validation
5x faster documentation | 35% less peer review time | 40-50% reduction in development effort
Client
A mid-to-large energy and utilities company building a new field operations management platform to replace disconnected spreadsheet and paper-based workflows across distributed field teams.
Challenge
- Field workflows scattered across spreadsheets, paper forms, and phone calls. Data silos meant operations leadership had no real-time visibility into field activity, and reporting was always days behind.
- A small development team tasked with building a complex multi-module platform under aggressive timelines. The team had backend expertise but lacked the bandwidth to simultaneously build frontend interfaces, database schemas, API contracts, and deployment infrastructure.
- Strict regulatory and safety compliance requirements in the energy sector demanding security-scored code, documented review gates, and standards alignment from the first line of code, not as a retrofit.
- Broad technology requirements across the full stack (backend services, frontend interfaces, database objects, APIs, deployment scripts) that would normally require multiple specialist teams.
Solution: Sanciti AI
RGEN and CodeGen worked together, with CodeGen as the primary agent generating production-ready code across the full stack from RGEN’s structured requirements.
RGEN: Requirements Capture
RGEN captured requirements from stakeholder sessions and existing workflow documentation, generating structured user stories and use cases 5x faster than the manual requirements workshops the team had planned.
CodeGen: Full-Stack Code Generation
CodeGen generated the complete application: Spring Boot backend services, React frontend interfaces, database objects (DDL, migrations, seeds), OpenAPI collections, and Docker deployment scripts. Every artifact was OWASP/NIST quality-scored with SAST and SCA scans before human review.
TestAI: Validation
TestAI generated functional and regression test suites covering the generated codebase, achieving 90% test coverage at first-time delivery, integrated into the CI/CD pipeline from day one. Human review gates ensured no generated output was finalized without approval. Pre-scored code reduced peer review time by 35%, keeping the small team focused on decisions rather than line-by-line validation.
Results
- 5x faster documentation from RGEN’s automated requirements capture, compressing weeks of planned analyst workshops into days.
- 35% less peer review time through CodeGen’s pre-scored, OWASP/NIST-compliant output. The small team could review faster without sacrificing standards.
- 40-50% reduction in development effort with CodeGen producing backend, frontend, database, API, and deployment artifacts from a single structured input.
- Full-stack output from a single pipeline covering Spring Boot, React, DDL, OpenAPI, and Docker. A capability that would normally require multiple specialist teams.
Impact
A small team delivered a complex multi-module platform under aggressive timelines. Field operations moved from spreadsheets to a centralized, real-time platform.
Security and compliance standards were met by design at the point of code generation, not retrofitted after development was complete.
Sanciti AI agents: RGEN, CodeGen, TestAI. Orchestrated by LEGMOD.
