Tag archive

Agent Harness

Coverage tagged agent harness.

Illustration comparing China's Kimi K3 open-weight AI model against Western coding assistants Claude and Codex.

Agent Harness Architecture: How Coding Agents Actually Execute Tools

A mechanism-first breakdown of the runtime that wraps a model: the loop, tool schemas, sandboxing, context strategy, permissions, and injection defence.

Related desks

AI Security

Latest

Sep 12, 2026, 12:37 PM EDT · Research · Mlx12 minMLX vs llama.cpp on Apple Silicon: Which Local LLM Runtime to Actually Use

One is a portable inference engine, the other an array framework that also trains — and that single difference settles almost every practical question.

Sep 12, 2026, 12:37 PM EDT · Operations · Llm Evaluation14 minHow to Build an LLM Evaluation Harness That Catches Real Regressions

Public benchmarks only shortlist a model; your own cases decide whether to ship it. Here is the dataset, the scorers and the CI gates that catch real drift.

Sep 12, 2026, 12:37 PM EDT · Research · Prompt Caching11 minPrompt Caching Explained: Cutting Agent Costs Without Touching the Model

Your agent re-sends the same long prefix on every step and pays to recompute it. Here is the KV mechanism, the ordering rule it forces, and the break-even math.

Sep 12, 2026, 12:37 PM EDT · Research · Speculative Decoding11 minSpeculative Decoding and Multi-Token Prediction: How LLMs Generate Faster

Decode is memory-bound, so checking several tokens in one pass is nearly free. Here is the mechanism, the arithmetic behind it, and why quality never moves.