Build a production AI-assistant framework by reverse-engineering agent architecture

Build a production AI-assistant framework by reverse-engineering agent architecture targets a $36.0B = 27M software developers x $1,333 annual spend on AI-assistant tooling & infra total addressable market with medium saturation and a year-over-year growth rate of 40%+ for AI developer platforms and agent tooling.

Key trends driving demand: Foundation models -- higher capability reduces engineering needed to orchestrate assistants, enabling faster productization.; Composable tooling -- libraries (agents, RAG, connectors) standardize patterns and speed integration across stacks.; Enterprise automation push -- companies prioritize automation and knowledge assistants to reduce operational cost.; Open-source acceleration -- mature OSS agent frameworks lower adoption friction and increase developer experimentation..