Is prompt engineering still relevant as models improve?

Yes — better models raise the ceiling, but clear structure, constraints, and examples still decide whether output is reliable enough to ship.

What's the highest-leverage prompting habit?

Be explicit about the output contract — format, constraints, and what 'done' looks like — instead of hoping the model infers it.

How do I know a prompt actually works?

Test it on real inputs and check the output, not the vibe. Oort attaches a shipped project to each prompt so you can see it working.

Prompt Engineering

Techniques, research, and patterns for getting reliable output from LLMs — the heart of what Oort is built around.

What to know

Prompt engineering is the practical craft of getting reliable, repeatable output from LLMs — structure, constraints, examples, and evaluation. It's exactly what Oort is built around: prompts that shipped real projects, ranked by real usage. This hub tracks techniques and research worth your time.

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Prompt Engineering — FAQ

Is prompt engineering still relevant as models improve?: Yes — better models raise the ceiling, but clear structure, constraints, and examples still decide whether output is reliable enough to ship.
What's the highest-leverage prompting habit?: Be explicit about the output contract — format, constraints, and what 'done' looks like — instead of hoping the model infers it.
How do I know a prompt actually works?: Test it on real inputs and check the output, not the vibe. Oort attaches a shipped project to each prompt so you can see it working.