Brief a coding agent on a task
Writes a clear task brief for an AI coding agent: scope, files, constraints and a definition of done, so it changes what you meant.
Coding prompts
12 prompts to write and fix code. Debugging, reviews, tests and refactors.
Build and explain a regular expression
Writes a regex from plain-English rules plus examples that should and should not match, then explains each part.
Choose an open model to run locally
Narrows down which open-weights model, size and quantization level fit your hardware and task, with trade-offs explained.
Choose model settings for an LLM API call
Recommends temperature, top-p, max tokens, stop sequences and caching for a specific LLM task, with the reasoning for each.
Debug a problem by testing hypotheses
Turns a confusing bug into a ranked list of hypotheses, each with a quick test, so you stop changing code at random.
Explain an error message and how to fix it
Translates a stack trace into plain English, names the most likely cause in your code, and gives the smallest fix to try first.
Explain unfamiliar code line by line
Walks through code you did not write, from the big picture down to tricky lines, at the level of experience you choose.
Extract structured data as valid JSON
Pulls fields out of messy text into JSON that matches your schema exactly, with null for anything that is not there.
Refactor code for readability, same behaviour
Cleans up messy code in small, safe steps and explains each change, while keeping inputs, outputs and side effects identical.
Review code like a senior engineer
Reviews a diff or file for bugs, security issues and readability, ranked by severity, with concrete line-level fixes.
Turn a business question into a SQL query
Writes a correct SQL query from a plain-English question and your table schema, and explains the assumptions it made.
Write unit tests for a function
Generates focused unit tests covering normal cases, edge cases and errors, using your test framework’s conventions.