Last updated 07-22-2026
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Copilot Chat
Copilot Chat is a test-driven code generation tool that helps developers produce JavaScript functions from input-output test cases. You define inputs, expected outputs, and an optional requirement description, then the tool uses an LLM to generate code and validate it against your tests.
If a test fails, Copilot Chat iteratively refines the generated code with the model until every case passes. The site includes worked examples for tasks like parsing GitHub URLs, parsing CSS color strings, and capitalizing words in a string.
The workflow is inspired by test-driven development and flow-engineering ideas similar to TypeChat and AlphaCodium, focusing on repeatable validation instead of one-shot prompt output.
Define input and expected output test cases before code is generated
Uses an LLM to generate JavaScript based on your tests and requirement notes
Automatically validates generated code against every test case
Iteratively refines failed outputs until all tests pass
Includes built-in examples for Git URL parsing, CSS color parsing, and string manipulation
Structured test-case workflow makes generated code easier to verify.
Built-in examples show how to use the tool for common JavaScript tasks.
Iterative refinement continues until all defined tests pass.
Site focuses on JavaScript function generation rather than multi-language projects.
Screenshot capture failed during enrichment due to an invalid SSL certificate on the live site.
What is Copilot Chat?
Copilot Chat is a web tool for test-driven JavaScript code generation. You provide test cases and optional requirements, and it generates code that is validated against those tests.
How does Copilot Chat validate generated code?
After the LLM generates code, Copilot Chat runs it against your defined test cases. If any case fails, the tool keeps refining the code with the model until all tests pass.
What kind of examples does Copilot Chat include?
The site includes examples such as parsing GitHub URLs into group and project names, parsing CSS color strings, and capitalizing every word in a string.
Does Copilot Chat require writing prompts manually?
You mainly define structured test cases with inputs and expected outputs, plus an optional requirement description. The tool handles the generation and validation flow from there.
Is Copilot Chat related to GitHub Copilot?
The intro page references AI code generation tools like GitHub Copilot as context, but Copilot Chat is a separate test-driven generation workflow hosted at copilot-chat.com.