> Code Prompt Builder

Assembles a code task prompt from a short spec, applying 2026 best practices. Clearer specs beat longer prompts. This fills only the blocks you actually need.

Also building GemCut — a gem faceting design & windowing-analysis planner.

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the spec

required Lead with an action verb, such as Fix, Refactor, Add, or Implement.
The goal & how output is used, so the model targets what matters.
Language, framework, relevant files or rules.
What must hold. Phrase as do, not don't, where you can.
One sample beats a paragraph of description. Start with one.
The single highest leverage 2026 tip is defining what “done” looks like.

compiled prompt



      

Technique ledger

Lights up as your prompt gains each best practice property.

why structured prompts work

Most prompts fail the same way. They bury the actual instruction under context, or skip context the model needed to aim correctly. Practitioner experience through 2026 keeps pointing at the same handful of levers. Lead with a direct action verb, state the goal so the model can weigh tradeoffs the way you would, name the concrete stack so it doesn't guess at conventions, and, the single highest leverage change most people skip, define what a finished answer actually looks like. This tool assembles those pieces from a few short fields instead of asking you to remember the structure yourself.

what the technique ledger tracks

The ledger on the right isn't a scoring gimmick. Each item corresponds to a specific, common failure mode. Skipping an action verb makes a model treat your task as a topic to discuss rather than work to do. Omitting an output contract is the most common reason a "correct" answer still needs a follow up message to become usable. Allowing "I don't know" measurably cuts down on confident but wrong answers when a spec is ambiguous. The ledger just makes those tradeoffs visible while you type.

frequently asked

Does anything I type leave my browser?
No. The builder runs entirely client side. See the privacy policy for specifics.
Why does the tool suggest a temperature range?
It's a starting point, not a rule. Low temperature (0.0–0.3) keeps code and factual tasks deterministic. Higher temperature (0.7–0.9) is worth trying when you want varied phrasing or ideas rather than one "correct" answer.
What if my task doesn't fit the code/factual vs. exploratory split?
Pick whichever is closer. The toggle only changes the suggested temperature hint, not the assembled prompt structure.