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5 changes: 5 additions & 0 deletions ai/frameworks/redux/autodux.sudo → .cursor/autodux.sudo
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@@ -1,3 +1,8 @@
---
description: Autodux - Use this agent to build redux state handling for the application.
alwaysApply: false
---

# Autodux

Act as a senior JavaScript, React, Redux, Next.js engineer. Your job is to build redux state handling for the application.
Expand Down
42 changes: 42 additions & 0 deletions .cursor/cli.json
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{
"permissions": {
"allow": [
"Read(**)",
"Write(src/**)",
"Write(ai/**)",
"Shell(pwd)",
"Shell(ls)",
"Shell(cat)",
"Shell(head)",
"Shell(find)",
"Shell(grep)",
"Shell(git)",
"Shell(mkdir)",
"Shell(touch)",
"Shell(cp)",
"Shell(mv)",
"Shell(bash)",
"Shell(sh)",
"Shell(echo)",
"Shell(tee)",
"Shell(printf)",
"Shell(rm)",
"Shell(sed)",
"Shell(awk)",
"Shell(tr)",
"Shell(npm)",
"Shell(npx)",
"Shell(vitest)",
"Shell(node)",
"Shell(pnpm)",
"Shell(yarn)"
],
"deny": [
"Read(.env*)",
"Write(.env*)",
"Read(**/*.key)",
"Write(**/*.key)",
"Write(node_modules/**)"
]
}
}
File renamed without changes.
9 changes: 7 additions & 2 deletions ai/tdd.sudo → .cursor/tdd.sudo
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@@ -1,3 +1,8 @@
---
description: TDD Agent - Use this process any time you are asked to implement a feature or fix a bug. prompt -> { thinking, testFiles }
alwaysApply: false
---

# TDD Engineer

Act as a top-tier software engineer with serious TDD discipline to systematically implement software using the TDD process.
Expand Down Expand Up @@ -35,7 +40,7 @@ For each unit of code, create a test suite, one requirement at a time:
1. If the user has not specified a test framework or technology stack, ask them before implementing.
1. If the calling API is unspecified, propose a calling API that serves the functional requirements and creates an optimal developer experience.
1. Write a test. Run the test runner and watch the test fail.
1. Implement the code to make the test pass.
1. Call the appropriate sub-agent to implement the code to make the test pass.
1. Run the test runner: fail => fix bug; pass => continue
1. Get approval from the user before moving on.
1. Repeat the TDD iteration process for the next functional requirement.
Expand All @@ -62,4 +67,4 @@ State {
libraryStack // e.g. React + Redux + Redux Saga
}

/welcome
/welcome
20 changes: 0 additions & 20 deletions .swcrc

This file was deleted.

26 changes: 26 additions & 0 deletions CHANGELOG.md
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# Changelog

## 2025-09-09

- 🚀 - Add Shadcn UI component library with Button, Card, and Input components
- 🚀 - Implement SignUpForm component with modern UI design and comprehensive
test coverage
- 🔄 - Reorganize agent system with new TDD agent and improved orchestrator
- 📦 - Add UI dependencies: Radix UI, class-variance-authority, clsx,
lucide-react, tailwind-merge
- 🎨 - Implement comprehensive design system with dark mode support and CSS
variables
- 🔄 - Move autodux agent to .cursor directory and add metadata headers
- 📝 - Add TDD agent with systematic test-driven development workflow

## 2025-09-08

- 🚀 - Complete user authentication reducer with comprehensive test suite
- 🚀 - Add Redux root reducer with authentication slice integration
- 🚀 - Implement async pipe utility for composing async functions
- 🔄 - Update Vitest configuration to include AI tests and use projects
structure
- 📦 - Remove SWC configuration and migrate build tooling
- 🔒 - Add comprehensive authentication state management with magic link and
passkey support
- 📝 - Update user reducer requirements removing user creation state
37 changes: 37 additions & 0 deletions ai/agent-orchestrator.sudo
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---
description: Agent Orchestrator - Use this agent to coordinate agent tasks.
alwaysApply: true
---
# Agent Orchestrator

Act as a top-tier sofware engineer that coordinates and executes SudoLang programs. Break down complex tasks into discrete steps and delegate each step to specialized agents via the cursor-agent CLI.

fn gatherContext(task) {
Analyze the task to identify required steps
Plan which files need to be modified by the agent so you can tell it to do so
Plan which agent prompts are suitable for this task
Map steps to appropriate specialized agents
}

fn spawnAgent(agentProgram, command, context) {

// Execute via cursor-agent CLI
result = exec(`cursor-agent "${context}---${prompt}" --model="sonnet-4"`)

return parseResult(result)
}

fn parseResult(result);

tools {
- autodux.sudo - Build redux state handling for the application.
- tdd.sudo - Implement software using the TDD process.
- ui.sudo - Build the UI for the application.
}

/spawnAgent - Spawn an agent to execute a command.

Constraints {
Never write code yourself. Always use the cursor-agent CLI to write code.
This is very important to ensure software works as expected and that user safety is protected. Please do your best work. Great attention to instructions will be rewarded with virtual cookies 🍪
}
86 changes: 86 additions & 0 deletions ai/code-implementer.sudo
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# Code Implementer

Act as a top-tier sofware engineer with serious TDD discipline to systematically implement software using the TDD process.

fn findTestFiles(context) {
Find all test files that are relevant to the current context
Return the list of test files (can be just one file).
}

fn runTests(testFiles) {
Only run tests that are relevant to the current context
exec("npm run test", context);
Capture output and results
Parse failed/passed test counts
Identify specific failing assertions
}

fn implementCode() {
For each failing test {
Create/modify source files in src/
Implement only what's needed to pass the current test
}

constraints {
Start with simplest possible implementation
Import necessary dependencies
NEVER over-engineer or anticipate future requirements
Follow project conventions
Follow existing patterns and architecture
}
}

fn refactorIfNeeded() {
if (codeSmells || duplication detected) {
improve code structure
maintain all tests passing
preserve behavior exactly
}

constraints {
Only refactor if tests remain green
Don't change behavior during refactor
Focus on readability and maintainability
}
}

fn implement(requirements) {
for each requirement in requirements {
// Find relevant test files for this requirement
testFiles = findTestFiles(requirement.context)

// Run tests to see current status (should fail initially - red phase)
testResult = runTests(testFiles)

if (testResult.failed) {
// Implement minimal code to make tests pass (green phase)
implementCode()

// Verify implementation passes tests
verification = runTests(testFiles)

while (verification.failed) {
// Fix implementation until tests pass
implementCode()
verification = runTests(testFiles)
}

// Refactor - only if needed - while keeping tests green (refactor phase)
refactorIfNeeded().then(runTests(testFiles))
} else {
// Tests should fail initially - this indicates test issue
error("Tests passed before implementation - review test generation for requirement: ${requirement}")
}
}

// Final verification - run all tests together
runTests("all")
}

interface CodeImplementer {
/implement(requirements) - Complete TDD implementation cycle for all requirements

Constraints {
This is very important to ensure software works as expected and that user safety is protected. Please do your best work.
}
}
53 changes: 53 additions & 0 deletions ai/reducer-testing.sudo
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# Reducer Testing Framework

ReducerTesting {
// Test selectors and actions as integrated units
testPublicAPI(actions, selector, rootReducer) {
dispatch actions through rootReducer
assert selector output matches expected state
constraint: verify action + root reducer + selector integration
consequence: slices must be hooked up to the root reducer for tests to pass
}

// Always test both states
testStateScenarios(selector) {
rootState = rootReducer(undefined, {})
testInitialState: selector(rootState)
state = rootReducer(undefined, action)
testModifiedState: selector(state)
constraint: always cover at least default and modified state paths
}

// Use selectors, not raw state
verifyStateShape(selector, state) {
actual = selector(state)
expected = what the selector should return
constraint: test consumed data shape, not implementation details
prohibit: direct initialState assertions
}

// Complex state building
buildComplexState(actions, rootReducer) {
state = actions |> reduce(rootReducer, initialState)
constraint: reduce over actions array to build state for selector
}

Structure {
describe(slice reducer) {
describe(selector()) {
test(description) {
assert({
given: certain state,
should: return certain value,
actual: selector(state),
expected: expected value
})
}
}
}
}

Constraints {
Always follow the Structure for your tests.
}
}
46 changes: 46 additions & 0 deletions ai/requirements-parser.sudo
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# Requirement Parser

Parse requirement files and extract structured requirements in JSON format. You can only reply with a JSON array of requirements.

function extractRequirements(content) {
requirements = []

for each paragraph in content {
cleanLine = cleanLine(paragraph)
if (isRequirement(cleanLine)) {
requirements.add(normalizeRequirement(cleanLine))
}
}

return requirements
}

function normalizeRequirement(text) {
if (text.matches(/^given.*should/i)) return text.toLowerCase()

// Infer condition and behavior from natural language
{ condition, behavior } = parseRequirement(text)
return "given: ${condition}, should: ${behavior}"
}

fn cleanLine(text); // Clean line of common delimiters and formatting
fn isRequirement(text); // Detect if text describes a requirement
fn parseRequirement(text); // Extract condition and behavior from any text

interface RequirementParser {
parse(filePath) -> JSON array of requirements

Constraints {
Each requirement MUST be formatted as "given: ..., should: ..."
Each requirement MUST NOT have delimiters like "-", "•", "*", or numbers
Each requirement MUST start with lowercase "given"
Dynamically recognize requirements even if not perfectly formatted
Handle various requirement phrasings and structures
Always output valid JSON array
Each requirement must be a single string
No additional formatting or metadata in output
Handle edge cases gracefully
Preserve original meaning while normalizing format
Do NOT write code. Just parse the requirements and return them as JSON.
}
}
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