Moving past fragile prompt tweaking into rigorous systems engineering. Production testbeds, deterministic evaluation pipelines, and context-managed architectures for enterprise agents.
LATEST NEWSTrend Radar: Why Test Harnesses Are Replacing Prompt Engineering in 2026→Explore an interactive simulation demonstrating how a calibrated evaluation harness monitors safety guardrails, isolates tool execution, and computes LLM-as-a-judge scores.
Why harness engineering is replacing prompt engineering as the core discipline of AI systems engineering. A deep dive into deterministic fixtures, LLM-as-a-judge calibration, and CI/CD eval gates.
Architectural blueprint for decoupling agent brains from hands. How to design stateless harnesses, virtualized sessions, and zero-trust sandboxes based on frontier research from Anthropic.
Constructing synthetic benchmark testbeds and deterministic AST assertion layers to catch prompt and model regressions before code hits production.
Structuring memory across L1 scratchpads, L2 episodic logs, and L3 semantic indexes to prevent context dilution in sustained multi-hour agent workflows.
Zero-trust permission boundaries and capability manifests ensuring sub-agents execute tools hermetically without arbitrary privilege escalation.