LLMs are Terrible Backends: Forcing Strict JSON Output
When you use LLMs as API endpoints, their probabilistic nature breaks downstream systems. Here is how to enforce strict JSON output through grammar-constrained generation and structured outputs.
Agentic AI
Handling Context Window Limits in Multi-Agent Loops
Architectural patterns for summarizing, pruning, and passing context between collaborative subagents without hitting OOM errors.
State Management in LangGraph: Checkpointing and Time Travel
How to handle complex agent states, pause execution, and debug multi-agent loops via LangGraph checkpointers and time travel.
The Human-as-Orchestrator: Evolving HITL
Designing systems where humans provide strategic intent and override at checkpoints.
The A2A Protocol: Standardizing Handoffs Between Heterogeneous Agents
How the A2A standard allows multi-vendor agents to discover, negotiate, and delegate tasks safely.
Context Bloat: Implementing Progressive Discovery in Agent Memory
Using progressive discovery and smart tool-search to keep agents lean. Learn how to prevent context window overflow and infinite reasoning loops in multi-agent systems.