Orchestration Patterns: Loops, Graphs, Managers, and Handoffs
A practical look at orchestration patterns for agent systems, grounded in the live harness-engineering demo after adding workflow graph export for its approval-gated runner.
Long-form, evidence-backed writing on agentic AI — newest first.
A practical look at orchestration patterns for agent systems, grounded in the live harness-engineering demo after adding workflow graph export for its approval-gated runner.
Technical analysis of CVE-2026-31431 Copy Fail, including exploit mechanics, real-world impact, short-term mitigations, and long-term fixes.
Function calling and MCP make tool interfaces more portable and legible, but they do not replace retries, approvals, state, tracing, or orchestration. A practical look at the live harness-engineering demo after adding an …
A comprehensive white paper on agentic harness engineering: the runtime, tooling, controls, evals, and governance patterns that make AI agents reliable in production.
A practical teardown of the live harness-engineering demo: runner, tool registry, persistent state, CLI surface, provider boundary, and traces—and why those parts matter more than agent theater.
Production-grade agent systems fail less because of clever prompts than because of the runtime around the model: typed tools, explicit workflow state, approvals, retries, traces, and resumable execution.
Microsoft, Alphabet, Amazon, and Meta showed the market now wants visible AI monetization, cloud acceleration, and operating discipline.
Hyper-scale distributed systems fail differently from ordinary software systems. Their most dangerous risks are rarely caused by one broken component. They emerge from the interaction of control planes, data planes, …
A holistic analysis of EuroSys 2026 accepted papers: dominant themes, hottest areas, emerging trends, and an 8-part deep-dive follow-up plan.
No single omics layer tells the full biological story. This post examines how AI integrates genomics, transcriptomics, proteomics, metabolomics, and spatial data into clinically useful models—and where the field still …