Building Agentic Systems from Scratch

While building MeHubb, an AI-powered platform that converts natural language requests into deployed web applications, we realized that relying on raw LLM chatbots is insufficient for production-grade engineering.

1. Structured JSON Execution Plans

Instead of letting the LLM output free-form code, the agent first generates a validated JSON execution schema containing exact project blueprints, dependencies, database requirements, and step-by-step tasks.

2. Closed-Loop Self-Healing Recovery

When code generation fails compilation or Docker build, the agent captures stderr logs, isolates line errors, and invokes a targeted diagnostic patch loop without human intervention.

Building Agentic Systems from Scratch

While building MeHubb, an AI-powered platform that converts natural language requests into deployed web applications, we realized that relying on raw LLM chatbots is insufficient for production-grade engineering.

1. Structured JSON Execution Plans

Instead of letting the LLM output free-form code, the agent first generates a validated JSON execution schema containing exact project blueprints, dependencies, database requirements, and step-by-step tasks.

2. Closed-Loop Self-Healing Recovery

When code generation fails compilation or Docker build, the agent captures stderr logs, isolates line errors, and invokes a targeted diagnostic patch loop without human intervention.