Pingap Developer Environment Extension

A cross-platform developer environment tool extending Pingap with Laravel Valet feature parity

📋 Quick Links

• Implementation Strategy
• Feature Requirements
• Test-Driven Development Flow
• Technical Requirements

🎯 Implementation Strategy

Product Development Hierarchy

graph TD
    A[Product] --> B1[Feature 1]
    A --> B2[Feature 2]
    B1 --> C1[Requirement 1.1]
    B1 --> C2[Requirement 1.2]
    C1 --> D1[Need 1.1.1]
    C1 --> D2[Need 1.1.2]
    D1 --> E1[Test Case 1.1.1.1]
    D1 --> E2[Test Case 1.1.1.2]

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Core Principles

1. Optimize Progression Rate

   • ✅ Single need progression per iteration preferred
   • 📈 Value consistent progress over batch progress
   • 🎯 Minimize code surface area per iteration

2. Minimize Regression Risk

   • 🛡️ Small, focused test cases
   • 🔍 Clear test boundaries
   • 🚫 Avoid premature complexity

3. Development Flow Optimization

   graph LR
       A[Review Requirements] --> B[Identify Next Need]
       B --> C[Create Single Test]
       C --> D[Implement Solution]
       D --> E[Verify Success]
       E --> A
   

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Progression vs Regression Analysis

Approach	Iterations	Progress Pattern	Risk Level
Single Need Focus	3	+1, +1, +1	Low
Batch Implementation	3	-1, +0, +3	High

Example: DNS Resolution Implementation

Preferred Approach (Single Need):

// Iteration 1
#[test]
fn test_basic_dns_resolution() {
    let dns = DnsResolver::new();
    assert!(dns.resolve("test.local").is_ok());
}
// Implementation: Basic DNS resolution only

// Iteration 2
#[test]
fn test_wildcard_support() {
    let dns = DnsResolver::new();
    assert!(dns.resolve("*.test.local").is_ok());
}
// Implementation: Add wildcard support

// Iteration 3
#[test]
fn test_cache_behavior() {
    let dns = DnsResolver::new();
    assert!(dns.resolve_cached("test.local").is_ok());
}
// Implementation: Add caching

Higher Risk Approach (Batch):

// Iteration 1 - All tests added
#[test]
fn test_dns_full_feature() {
    let dns = DnsResolver::new();
    assert!(dns.resolve("test.local").is_ok());
    assert!(dns.resolve("*.test.local").is_ok());
    assert!(dns.resolve_cached("test.local").is_ok());
}
// Implementation attempt: All features at once
// Result: Likely regression due to complexity

🔨 Feature Requirements

Features are implemented in order of dependencies, from foundational to integrated

1. DNS Resolution (Foundation)

Layer	Requirement	Tests	Dependencies
Foundation	User-space DNS	test_dns_resolution_without_root	None
Core	Wildcard Domains	test_wildcard_subdomain_resolution	User-space DNS
Integration	Hickory DNS	test_dns_server_starts	Wildcard Domains

2. Certificate Management

Layer	Requirement	Tests	Dependencies
Foundation	Local CA	test_ca_generation	DNS Resolution
Core	Cert Generation	test_cert_generation	Local CA
Integration	Trust Store	test_platform_trust_store	Cert Generation

3. Project Management

Layer	Requirement	Tests	Dependencies
Foundation	Type Detection	test_detect_project_type	None
Core	Worker Pools	test_worker_creation	Type Detection
Integration	Hot Reload	test_file_watch	Worker Pools

4. CLI Interface

Layer	Requirement	Tests	Dependencies
Foundation	Shell Integration	test_shell_integration	None
Core	Link Command	test_link_command	Shell Integration
Integration	Secure Command	test_secure_command	Link Command, Certificates

🧪 Test-Driven Development Flow

Automated Test Tracking

/// Test tracking attribute macro for automated metrics collection
#[track_test]
#[test]
fn test_dns_resolution() {
    let resolver = DnsResolver::new();
    assert!(resolver.resolve("test.local").is_ok());
}

Metrics Collection Infrastructure

// src/test_utils/tracking.rs
#[proc_macro_attribute]
pub fn track_test(_attr: TokenStream, item: TokenStream) -> TokenStream {
    let input = parse_macro_input!(item as ItemFn);
    let name = &input.sig.ident;
    let block = &input.block;
    
    quote! {
        #[test]
        fn #name() {
            use std::time::Instant;
            let start = Instant::now();
            
            // Execute test and capture metrics
            let result = std::panic::catch_unwind(|| #block);
            let duration = start.elapsed();
            
            // Log structured metrics
            TEST_METRICS.record_test(TestMetrics {
                name: stringify!(#name),
                duration_ms: duration.as_millis(),
                passed: result.is_ok(),
                feature: env!("CARGO_PKG_NAME"),
                requirement: file!(),
            });

            if let Err(err) = result {
                std::panic::resume_unwind(err);
            }
        }
    }.into()
}

Rules Engine Integration

# .cursorrules
[meta]
version = "1.0.0"
last_updated = "2024-03-15T10:30:00Z"

[rules.progression]
min_rate = 0.95                # 95% of iterations must progress
max_regression_rate = 0.05     # No more than 5% regressions
single_need_focus = true       # Default to single need per iteration
adaptive_batch_size = true     # Allow AI to adjust batch size based on success rate

[rules.adaptation]
# Thresholds for AI decision-making
high_success_threshold = 0.98  # Consider increasing batch size above this
low_success_threshold = 0.90   # Force single-need focus below this
min_iterations_before_adapt = 5 # Minimum iterations before allowing adaptation

[rules.metrics]
collect_timing = true          # Track execution time per test
collect_dependencies = true    # Track inter-test dependencies
collect_complexity = true      # Track code complexity metrics
store_history = true          # Keep historical progression data

[features]
order = [
    "dns_resolution",          # Foundation feature
    "certificate_management",  # Depends on DNS
    "project_management",     # Independent core
    "cli_interface"          # Integrates all features
]

[features.dns_resolution]
status = "in_progress"
priority = 1
completion = 0.45  # 45% complete

[features.dns_resolution.requirements]
[[features.dns_resolution.requirements.basic_resolution]]
status = "completed"
needs = [
    { id = "resolve_local", tests = ["test_basic_dns_resolution"], completed = true },
    { id = "handle_errors", tests = ["test_dns_error_cases"], completed = true },
    { id = "validate_input", tests = ["test_dns_input_validation"], completed = true }
]
progression_rate = 1.0  # Perfect progression
regression_count = 0
average_iteration_time = 125  # milliseconds

[[features.dns_resolution.requirements.wildcard_support]]
status = "in_progress"
needs = [
    { id = "wildcard_matching", tests = ["test_wildcard_resolution"], completed = true },
    { id = "subdomain_handling", tests = ["test_subdomain_cascade"], completed = false }
]
progression_rate = 0.75  # Some regressions during implementation
regression_count = 1
average_iteration_time = 180  # milliseconds

[ai.strategy]
# AI agent decision-making configuration
[[ai.strategy.rules]]
condition = "progression_rate >= 0.98 && last_5_iterations_clean"
action = "increase_batch_size"
max_batch_size = 3

[[ai.strategy.rules]]
condition = "regression_rate >= 0.05 || consecutive_regressions >= 2"
action = "enforce_single_need"
cool_down_iterations = 5

[[ai.strategy.rules]]
condition = "complexity_increase > 20% && progression_rate < 0.95"
action = "suggest_refactor"
priority = "high"

[ai.metrics]
# Metrics collection for AI decision-making
[[ai.metrics.collectors]]
type = "test_execution"
fields = [
    "duration_ms",
    "memory_usage",
    "code_coverage",
    "dependency_chain"
]

[[ai.metrics.collectors]]
type = "code_analysis"
fields = [
    "complexity_score",
    "dependency_count",
    "change_impact_radius"
]

[ai.feedback]
# Historical context for AI learning
store_decisions = true
store_outcomes = true
adaptation_window = 10  # iterations
success_metrics = [
    "progression_rate",
    "test_stability",
    "implementation_time",
    "maintenance_burden"
]

[reporting]
# Detailed reporting configuration
[[reporting.metrics]]
name = "Progression Rate"
type = "rolling_average"
window = 10
alert_threshold = 0.90

[[reporting.metrics]]
name = "Regression Impact"
type = "cumulative"
reset_on = "feature_completion"

[[reporting.visualizations]]
type = "progression_graph"
update_frequency = "real_time"
include_predictions = true

[test_runner.hooks]
pre_test = [
    "complexity_check",
    "dependency_validation",
    "resource_monitoring"
]
post_test = [
    "metrics_collection",
    "ai_feedback_update",
    "strategy_adjustment"
]

Test Runner Integration

// src/test_runner/context.rs
pub struct TestContext {
    pub feature: FeatureContext,
    pub metrics: MetricsCollector,
    pub ai_feedback: AIFeedbackCollector,
}

impl TestContext {
    pub fn record_iteration(&mut self, result: TestResult) {
        // Update progression/regression metrics
        self.metrics.record_result(&result);
        
        // Collect AI-relevant context
        self.ai_feedback.collect_context(&result);
        
        // Adjust strategy if needed
        if self.should_adjust_strategy() {
            self.adjust_test_strategy();
        }
    }
    
    fn should_adjust_strategy(&self) -> bool {
        let metrics = self.metrics.get_recent_metrics(5);
        
        // AI decision making based on recent performance
        metrics.progression_rate() >= 0.98 || 
        metrics.regression_rate() >= 0.05 ||
        metrics.has_consecutive_regressions(2)
    }
    
    fn adjust_test_strategy(&mut self) {
        let recommendation = self.ai_feedback.get_strategy_recommendation();
        match recommendation {
            Strategy::IncreaseBatchSize(n) => self.feature.set_max_batch_size(n),
            Strategy::EnforceSingleNeed => self.feature.enforce_single_need(),
            Strategy::SuggestRefactor => self.feature.mark_for_refactor(),
        }
    }
}

// src/test_runner/metrics.rs
pub struct MetricsCollector {
    history: VecDeque<TestMetrics>,
    current_feature: FeatureMetrics,
}

impl MetricsCollector {
    pub fn record_test(&mut self, metrics: TestMetrics) {
        // Record raw metrics
        self.history.push_back(metrics.clone());
        
        // Update feature-specific metrics
        self.current_feature.update(&metrics);
        
        // Trigger AI feedback collection
        self.collect_ai_feedback(&metrics);
    }
    
    fn collect_ai_feedback(&self, metrics: &TestMetrics) {
        // Calculate progression indicators
        let progression_rate = self.calculate_progression_rate();
        let complexity_delta = self.calculate_complexity_delta();
        
        // Feed into AI decision making
        AI_AGENT.feed_metrics(AIMetrics {
            progression_rate,
            complexity_delta,
            test_duration: metrics.duration_ms,
            code_coverage: metrics.coverage,
        });
    }
}

Custom Test Harness

// src/test_harness/mod.rs
use libtest_mimic::{Trial, Conclusion};

pub struct TestHarness {
    rules: RulesEngine,
    metrics: MetricsCollector,
}

impl TestHarness {
    pub fn run_tests(&mut self) -> Conclusion {
        let trials = self.collect_trials();
        
        for trial in trials {
            let result = self.run_single_trial(trial);
            self.metrics.record(result);
            
            // Enforce progression rules
            if !self.rules.verify_progression(&self.metrics) {
                return Conclusion::Failed;
            }
        }
        
        Conclusion::Passed
    }
}

Progress Tracking Automation

// cargo-xtask implementation
fn main() {
    let harness = TestHarness::new();
    let result = harness.run_tests();
    
    // Generate metrics report
    println!("Test Progression Report");
    println!("----------------------");
    println!("Total Iterations: {}", result.iterations);
    println!("Progression Rate: {:.2}%", result.progression_rate * 100.0);
    println!("Regression Rate: {:.2}%", result.regression_rate * 100.0);
    
    // Feature-specific metrics
    for feature in result.features {
        println!("\nFeature: {}", feature.name);
        println!("  Completed Needs: {}/{}", feature.completed_needs, feature.total_needs);
        println!("  Current Status: {}", feature.status);
    }
    
    std::process::exit(if result.rules_satisfied { 0 } else { 1 });
}

Integration Example

// Example of a complete feature implementation flow
#[track_test]
mod dns_resolution_tests {
    // Foundation Layer (Single Need Focus)
    #[test]
    fn test_basic_resolution() {
        let dns = DnsResolver::new();
        assert!(dns.resolve("test.local").is_ok());
    }
    
    // Core Layer (After Foundation Complete)
    #[test]
    #[ignore = "Requires foundation completion"]
    fn test_wildcard_support() {
        let dns = DnsResolver::new();
        assert!(dns.resolve("*.test.local").is_ok());
    }
    
    // Integration Layer (After Core Complete)
    #[test]
    #[ignore = "Requires core completion"]
    fn test_caching() {
        let dns = DnsResolver::new();
        assert!(dns.resolve_cached("test.local").is_some());
    }
}

CI/CD Integration

# .github/workflows/test-progression.yml
name: Test Progression Verification

on: [push, pull_request]

jobs:
  verify-progression:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - uses: actions-rs/toolchain@v1
        with:
          toolchain: stable

      - name: Run Test Harness
        run: cargo xtask test-progression

      - name: Upload Metrics
        if: always()
        uses: actions/upload-artifact@v2
        with:
          name: test-metrics
          path: target/test-metrics.json

📊 Enhanced Progress Tracking

DNS Resolution Feature

gantt
    title DNS Resolution Progress
    dateFormat  YYYY-MM-DD
    section Foundation
    Basic Resolution     :done,    des1, 2024-03-01, 2024-03-02
    Error Handling      :active,  des2, 2024-03-02, 2024-03-03
    section Core
    Wildcard Support    :         des3, after des2, 2d
    Cache Layer         :         des4, after des3, 2d

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Progress Matrix

Feature	Need	Status	Iterations	Regressions	Notes
DNS	Basic Resolution	✅	1	0	Clean progression
DNS	Wildcard	⏳	2	1	Needed refactor
DNS	Caching	📝	-	-	Not started

🛠 Technical Requirements

API Integration Points

// 1. DNS Management
pub trait DevDnsManager: Send + Sync {
    async fn start_service(&self) -> Result<()>;
    async fn update_mapping(&self, domain: &str, ip: &str) -> Result<()>;
}

// 2. Certificate Management
pub trait DevCertManager: Send + Sync {
    async fn secure_site(&self, domain: &str) -> Result<()>;
    async fn trust_certificate(&self, domain: &str) -> Result<()>;
}

// 3. Project Management
pub trait ProjectManager: Send + Sync {
    fn detect_project_type(&self, path: &Path) -> ProjectType;
    async fn create_worker_pool(&self, project: &SiteConfig) -> Result<WorkerPool>;
}

Performance Targets

Feature	Metric	Target
DNS Resolution	Lookup Time	< 1ms
Certificate Generation	Generation Time	< 5s
Hot Reload	Detection Time	< 2s

📊 Progress Tracking

• DNS Resolution

  • Foundation Layer
  • Core Layer
  • Integration Layer

• Certificate Management

  • Foundation Layer
  • Core Layer
  • Integration Layer

• Project Management

  • Foundation Layer
  • Core Layer
  • Integration Layer

• CLI Interface

  • Foundation Layer
  • Core Layer
  • Integration Layer

🔍 References

• DNS Discovery Implementation
• Certificate Management
• Configuration System
• Plugin Architecture