Meet Alfredo de Candia, CTO, Hoken Tech (ex-Google)
In this episode we talked about AI Assisted Enterprise Coding, here are some of the talking points:
- Essential developer knowledge required - While AI coding tools are powerful, you still need basic programming skills to choose the right frameworks, implement security measures, and understand backend requirements. The tools support you but can't create everything from scratch.
- Key tools and testing approach - Alfredo uses Augment Code (VS Code plugin with full codebase context) and Cline for different purposes, spending ~100 hours testing each new tool on cloned codebases before allowing production use. His evaluation criteria: number of prompts needed and error frequency.
- Enterprise security considerations - For enterprise environments, proper user management, data protection, authentication systems, and multiple security layers are critical. AI tools can help implement best practices, but developers must understand these requirements to avoid creating vulnerable platforms.
- Practical workflow integration - AI tools excel at speeding up repetitive coding tasks, creating prototypes quickly for testing ideas, and implementing research papers into working code. The approach is using AI for rapid prototyping, then refining with experienced developers for production-ready enterprise solutions.
