Question 1

Stack disciplines: prompt → context → harness → loop. Skipping layers misdiagnoses failures.

Accepted Answer

In 2025-2026, building with LLMs is not one skill—it is four: prompt, context, harness, and loop engineering. This guide maps when to use each discipline, common failure modes, and copy-ready patterns. Dive deeper in the dedicated Context, Harness, and Loop guides linked at the end.

Question 2

Prompt engineering = executable specs + escape hatches.

Accepted Answer

In 2025-2026, building with LLMs is not one skill—it is four: prompt, context, harness, and loop engineering. This guide maps when to use each discipline, common failure modes, and copy-ready patterns. Dive deeper in the dedicated Context, Harness, and Loop guides linked at the end.

Question 3

Context engineering = Write, Select, Compress, Isolate.

Accepted Answer

In 2025-2026, building with LLMs is not one skill—it is four: prompt, context, harness, and loop engineering. This guide maps when to use each discipline, common failure modes, and copy-ready patterns. Dive deeper in the dedicated Context, Harness, and Loop guides linked at the end.

Question 4

Harness engineering = observable, versioned environment around the model.

Accepted Answer

In 2025-2026, building with LLMs is not one skill—it is four: prompt, context, harness, and loop engineering. This guide maps when to use each discipline, common failure modes, and copy-ready patterns. Dive deeper in the dedicated Context, Harness, and Loop guides linked at the end.

Question 5

Loop engineering = automations + tools + verifiable stops—not hand-prompting every turn.

Accepted Answer

In 2025-2026, building with LLMs is not one skill—it is four: prompt, context, harness, and loop engineering. This guide maps when to use each discipline, common failure modes, and copy-ready patterns. Dive deeper in the dedicated Context, Harness, and Loop guides linked at the end.

AI Engineering: Prompt, Context, Harness & Loop (2025-2026)