Diego Lopes
Building AI Agents & SaaS with Next.js
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Official Website: TENET AI (High-Conversion Landing Page)
The public-facing portal and onboarding flow for the TENET AI ecosystem.
Built with Replit:
Rapid Prototyping: Used Replit's instant preview environment to iterate on the UI/UX design in real-time without local server setup.
Frontend Performance: Optimized assets and code splitting directly within the Replit editor to ensure high Lighthouse scores.
Zero-Config Dev: Leveraged Replit's pre-configured templates to jumpstart the development of the responsive layout.
Stack: HTML5, Tailwind CSS, JavaScript (Developed in Replit).
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SaaS Platform: TENET AI (Built on Replit)
A multi-tenant AI agent platform developed entirely within the Replit ecosystem.
Replit-First Workflow:
Cloud IDE: Used Replit as the exclusive environment to build complex Python/FastAPI microservices without local setup.
AI Assisted: Leveraged Replit Ghostwriter to accelerate boilerplate generation for the multi-agent orchestration logic.
Debugging: Utilized the Replit Shell for real-time testing of WhatsApp API webhooks before pushing to production.
Stack: Python, FastAPI, PostgreSQL. (Production deployed via Railway, Development via Replit).
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PagueFlow: Personal Finance PWA (Built with Replit AI)
A full-stack financial management application featuring expense tracking, dashboards, and authentication.
Replit Development Workflow:
AI-Driven Development: Heavily utilized Replit Ghostwriter to generate logic for the dashboard calculations and UI components (visible in Git history as "Assistant checkpoints").
Version Control: Managed the entire Git workflow directly via the Replit Git pane to track features and rollbacks.
Integrations: Configured the connection with Supabase (Auth & Database) directly within the Replit environment variables and shell.
Stack: TypeScript, Tailwind CSS, Supabase (Developed entirely in Replit).
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LeadInsights: Data Mining Tool (Developed in Replit)
A Python-based lead qualification tool. The entire development lifecycle, from initial scripting to final debugging, was executed within the Replit cloud IDE.
Replit Development Workflow:
Zero-Setup Environment: Leveraged Replit's pre-configured Python environment to immediately start coding complex data processing scripts using pandas and BeautifulSoup without local dependency hell.
Interactive Debugging: Utilized the Replit Shell heavily to run ad-hoc data scraping tests and inspect data frames in real-time before integrating them into the main application logic.
Package Management: Managed Python dependencies directly through the Replit console, ensuring a reproducible development environment.
Stack: Python, Pandas, Web Scraping Libraries (Developed directly in Replit).
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BudgetCalc - Smart Project Estimator
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