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The software stacks, environment configurations, and AI tools I leverage to build scalable multi-tenant SaaS products and modern user interfaces.
Codex
Context-aware AI predictions matching project-wide conventions.
Antigravity
Autonomous workflow automation and complex multi-file engineering.
Open Code
Privacy-focused editor environment optimized for next-generation developer tooling.
GPT 5.6 Sol
Primary model for complex logic, multi-file code integration, and core architectural design.
GPT 5.6 Tera
Massive context reasoning agent optimized for codebase audits and refactoring.
GPT 5.6 Luna
High-efficiency model tailored for low-latency chat sessions and utility scripting.
sonnet 5
State-of-the-art model for responsive frontend design, component composition, and CSS styles.
Gemini 3.1 Pro
Advanced reasoning model with deep context windows for extensive code search.
Gemini 3.5 Flash
Lightning fast token generation for real-time completions and summaries.
Next.js
Framework:My absolute go-to framework for building SSR-powered, scalable web apps.
TypeScript
Language:Ensures type safety and robust software design for fast iterations.
PostgreSQL
Database:The choice database for structure, relational logic, and multi-tenant systems.
Prisma & Supabase
Data Layer:Prisma ORM for database migrations combined with Supabase for real-time APIs.
Coolify & LiveKit
Infrastructure:Used to self-host WebRTC video servers and manage platform deployments.
Designing codebases with strict modularity to provide optimized context for LLM agents. This speeds up coding cycles by 3-5x while preserving architectural design integrity.
Leveraging Coolify, VPS, and Cloudflare R2 to minimize cloud overhead, maintain full environment control, and optimize performance for dynamic multi-tenant workloads.
Always starting feature development from the data schema. Strict schema constraints prevent API drift and ensure robust type safety from database to frontend.