#SuccessStories - Seven Times Faster: How Sia Modernized a TotalEnergies Market Intelligence App with Spec-Driven, AI-Assisted Development
1. Context
AI-assisted development changes how applications are built: people make the decisions while AI analyzes and executes. In spec-driven development, short, actionable specifications set the objective, scope, acceptance criteria, edge cases and target metrics, and human review keeps quality under control.
TotalEnergies wanted to modernize an internal application that provides real-time news updates and scientific monitoring, centralizing relevant information streams into a structured, actionable interface for expert users.
2. Client Challenge
TotalEnergies needed an application that would:
- Enable continuous intelligence tracking and faster analysis.
- Support many concurrent expert users without degradation.
- Reach production faster and at lower cost.
3. What Sia Did ?
Sia modernized the application using AWS Kiro, an AI-assisted development environment, and spec-driven development:
- Specifications first: short, actionable specifications (objective, scope, acceptance criteria, edge cases, target metrics) used to drive implementation.
- Shippable increments: work split into shippable features awaiting human review, with end-to-end tests and sanity
- Initial scope: strategic signal alerts, AI-augmented intelligence, standardized briefing summaries and a new front end built for multi-user teams.
4. Results & Outlook
The modernization delivered:
- 7 times faster time to production, with lower costs
- A 60% reduction in requirements analysis time and 55% faster completion of core coding tasks.
- Faster generation of summaries and documentation, and better overall code quality with less rework.
- One platform serving 4 regions and more than 50 users.
By combining spec-driven development with AI-assisted engineering, Sia helps companies deliver better software, faster.