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Our enhanced AI methodology

AI is at the heart of our development process.

From design to maintenance, our teams rely on AI to ensure that we deliver digital solutions that are both high-performing and sustainable.

AI is not just a tool, but a partner that enhances the creativity, productivity, and precision of our project teams.

Why integrate AI into web development methodology?

Figures don’t lie. Generative AI is profoundly transforming software development, creating a disruption comparable to the adoption of agile methods 20 years ago.

-40 %

Workload time in user stories writing

+25 %

Development tasks completed

-70 %

Reduction of test case creation time

AI, a true partner

AI is not just a tool, but a partner that enhances the productivity, quality and creativity of our web development teams.

  • Accelerates web development cycles by automating repetitive tasks
  • Improves code quality with intelligent analysis and correction tools
  • Reduces risks by detecting bugs and vulnerabilities earlier
  • Personalizes solutions by analyzing user needs and behaviors in real time

 

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AI improving our project methodology

#01

Conception and specifications

  • Creation of Epics and User Stories with AI
  • Meeting minutes generated via AI and integrated into Confluence
  • Initialization of documentation by AI
  • Rapid prototyping (mockups and user journeys)
#02

Development and code

  • Using Claude Code as a development assistant
  • AI analysis of our code libraries to reuse proven components
  • Automatic vulnerability detection from the very first lines of code
#03

Testing and quality

  • Creation of test cases via AI based on User Stories
  • Generation of Playwright code for automated tests
  • Automatic execution of test cases and generation of reports
  • Performance testing and load simulation to identify bottlenecks before production deployment
#04

Roll-out and maintenance

  • Continuous deployment: Integration of AI into our CI/CD pipelines to automatically validate releases.
  • Intelligent monitoring: Proactive surveillance of applications in production, with anomaly detection and correction suggestions.
  • Predictive maintenance: Anticipation of failures and evolution needs through the analysis of logs and metrics.

Our technologies and partners

We use leading AI code and DevOps tools:

  • AI Tools: GitHub Copilot, Claude Code, ChatGPT Codex, Amazon Bedrock
  • Agent Orchestration Tools: n8n, Flowise, crew.ai, langraph
  • RAG and Vector Databases: LangChain, HuggingFace, ChromaDB
  • DevOps Platforms: GitLab CI, Azure DevOps

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