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Diego Lopes's avatar
Diego Lopes
Sorocaba, Brazil
Building AI Agents & SaaS with Next.js
REPLIT_EXPERT

Expert

Building AI Agents & SaaS with Next.js
Cover image for PagueFlow: Personal Finance PWA (Built
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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Cover image for Official Website: TENET AI (High-Conversion
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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Cover image for SaaS Platform: TENET AI (Built
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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Cover image for LeadInsights: Data Mining Tool (Developed
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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TypeScript(1)