Worked on improving the setup and onboarding experience for the kortix-ai/suna repository by focusing on configuration reliability and clarity. Addressed a setup prompt typo to ensure the default LLM model is accurately communicated during initial configuration, reducing confusion for new users. Implemented validation for the SUPABASE_URL environment variable, enforcing its presence and causing setup to fail fast if missing, which helps prevent misconfiguration and post-deployment issues. Consolidated related changes within setup.py to streamline the configuration flow and enhance traceability. Utilized Python for backend development, configuration management, and scripting, applying DevOps principles to support smoother production deployments.