Agent ready episode 1 with Langflow: RAG workflows & agent development
Blog post from Stytch
In the first episode of the Agent Ready video series, Reed McGinley-Stempel, CEO of Stytch, and Carter Rabasa, Head of Developer Relations at Langflow, discuss the evolving landscape of AI-powered agents and their impact on application development. They delve into foundational patterns and best practices for building AI agents, balancing autonomous behaviors with the necessary oversight, and the importance of managing memory, context, and tool orchestration. The session includes practical techniques for debugging agent behavior and improving observability, highlighting the advancements in agent platforms that strive to bridge the reliability gap with traditional SaaS models. With live demos using tools like Langflow and Arize, the video showcases how developers can create and monitor agentic workflows, emphasizing the immense potential of AI in transforming user experiences. Both speakers stress the importance of experimentation and learning in this rapidly changing field, encouraging developers to explore and harness the capabilities of AI agents to redefine the future of software development.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 13 | 4,566 | 738 | 226 | -7% |
| Observability | 7 | 2,199 | 431 | 143 | -7% |
| AI Agents | 6 | 2,986 | 597 | 186 | +11% |
| MCP | 4 | 4,941 | 346 | 138 | +31% |
| RAG | 3 | 1,269 | 226 | 100 | +12% |
| Real-time | 2 | 5,401 | 1,154 | 263 | -1% |
| Harness engineering | 1 | 24 | 22 | 19 | -63% |
| Multi-agent systems | 1 | 304 | 102 | 58 | -28% |
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