Latest blog posts

Learn how developers are navigating the complex landscape of LLM apps, AI agents, and hybrid architectures — and how protocols like MCP and A2A are shaping the future of AI integration.

Deploy an AI agent using LangChain and Gentoro to automate incident detection, analysis, team alerts, and JIRA ticket creation, enhancing production support efficiency.

LangChain made AI development easier, but as applications evolve, its limitations are showing. Explore what’s next for AI frameworks beyond chain-based models.

Vibe coding, powered by generative AI, is redefining software creation and interaction. Learn how this paradigm shift is transforming development and user experience.

LangChain is powerful but manually intensive. What if agentic AI handled the complexity? Explore how directive programming could redefine AI development.

Discover how API-aligned and user-aligned function designs influence LLM performance, optimizing outcomes in function-calling tasks.

Uncover the technical hurdles developers encounter when connecting LLMs with enterprise systems. From API design to security, this blog addresses it all.

Discover how to tackle LLM output formatting challenges with JSON mode and DTOs, ensuring more reliable ChatGPT responses for application development.

Learn why AI should build function-calling systems dynamically instead of manual coding, and how to future-proof these systems against LLM updates and changes.

Explore function-calling in LLMs, its challenges in API integration, and how User-Aligned Functions can bridge the gap between user requests and system APIs.

Learn how Retrieval-Augmented Generation (RAG) enhances LLMs by connecting them to external data sources, enabling real-time data access and improved responses.