NEWS · CODING · #2574
InfoQ outlines evolution of agentic harnesses from chains to graphs to code
An InfoQ article summarizes three paradigms for building agentic harnesses around LLMs — chains (linear workflows), graphs (explicit control-flow with nodes/edges), and code (sandboxed, execution-first systems) — and argues the field has moved from ad‑hoc glue to production-grade, observable architectures. The piece highlights tradeoffs (latency, fragility, resilience) and recommends treating LLM outputs as untrusted, decoupling planning from execution, and investing in observability and minimal necessary abstractions.
KEY POINTS
- An InfoQ article summarizes three paradigms for building agentic harnesses around LLMs — chains (linear workflows), graphs (explicit control-flow with nodes/edges), and code (sandboxed, execution-first systems) — and argues the field has moved from ad‑hoc glue to production-grade, observable architectures.
- The piece highlights tradeoffs (latency, fragility, resilience) and recommends treating LLM outputs as untrusted, decoupling planning from execution, and investing in observability and minimal necessary abstractions.
- It frames practical architectural choices and engineering practices for making LLM-based agents reliable and production-ready, guiding developers and teams building such systems.
WHY IT MATTERS
It frames practical architectural choices and engineering practices for making LLM-based agents reliable and production-ready, guiding developers and teams building such systems.