AI Expert Generate Validate

How AI-Augmentation Delivers
5-10x Productivity

AI-augmented development combining senior expertise with advanced AI delivers exceptional results in record time

The Traditional Development Challenge

Conventional approaches face inherent limitations

⏱️

Long Ramp-Up

Junior developers need 2-3 months to become productive on real-time software projects

📈

Technical Debt

Pressure to deliver fast leads to shortcuts that accumulate and slow future development

📝

Late Documentation

Documentation is often postponed until after delivery, when details are forgotten

🧪

Insufficient Tests

Testing is often sacrificed under deadline pressure, leading to bugs in production

Our AI-Augmented Approach

A unique methodology that combines human expertise with AI capabilities

🧠

Human Architecture

Expert architects design, validate, and orchestrate development

  • • System architecture design
  • • Technical decision-making
  • • Quality validation
  • • Project orchestration
🤖

AI Generation

AI-generated code, tests, and documentation meet exact specifications and industrial quality standards

  • • Code generation
  • • Unit & integration tests
  • • Technical documentation
  • • Boilerplate elimination
🔄

Continuous Refinement

Permanent refactoring and validation ensure zero technical debt and industrial-grade quality.

  • • Continuous refactoring
  • • Automated testing
  • • Code review automation
  • • Quality gates

The Human+AI Development Cycle

1️⃣

Architecture

Human designs system

2️⃣

Generation

AI-assisted code generation

3️⃣

Validation

Human reviews quality

4️⃣

Refinement

Continuous improvement

5️⃣

Delivery

Production-ready code

Technical Infrastructure

Proprietary AI-Augmented Toolchain

Industrial-grade automation orchestrating the AI ↔ Expert collaboration

AI-Augmented Development Workflow: Expert and AI collaborate bidirectionally with systematic toolchain validation
🔄

Bidirectional Development Workflow

Expert develops critical architecture and uses AI as technical advisor for design patterns, technology selection, mathematical models, and UX considerations. AI accelerates implementation of repetitive tasks. Both continuously review each other's work.

  • • Expert codes critical components
  • • AI advises on design patterns and technologies
  • • AI generates tests, documentation, boilerplate
  • • Continuous mutual review at each iteration

Systematic Multi-Level Validation

Automated analysis of all code (expert-written and AI-generated): style compliance, architectural patterns, anti-patterns detection, security audits.

  • • Static analysis (style, patterns, anti-patterns)
  • • Real-time constraints verification (heap allocations, latency)
  • • Test coverage enforcement (>80% required)
  • • Security audit (buffer overflows, race conditions)

Real-Time Performance Guardrails

Specific controls for mission-critical constraints: determinism verification, latency budget measurement, edge case detection.

  • • Dynamic memory allocation control
  • • Automatic latency budget measurement
  • • Non-deterministic construct detection
  • • Critical edge case validation
🤖

AI-Powered Code Quality Analysis

AI-based tools continuously measure code quality and detect technical debt accumulation before it becomes problematic.

  • • AI-powered code quality metrics
  • • Real-time technical debt detection
  • • Automated maintainability scoring
  • • Predictive complexity analysis
📋

Complete Traceability & Audit Trail

Full documentation of the development process: expert contributions, AI suggestions, review iterations, validation results.

  • • Complete logging: prompts → code → reviews → modifications
  • • Automatic versioning of all iterations
  • • Productivity metrics (time saved, acceptance rate)
  • • DO-178C, ISO 26262 compliance support

True Human-AI Collaboration

Expert Develops

Architecture, critical algorithms, key decisions

AI Advises & Generates

Design patterns, technologies, tests, documentation

Mutual Review

Each validates the other's contributions

Toolchain Enforces

Systematic quality and compliance checks

Proven Results

Real projects, measurable outcomes

2-3 weeks
POC Delivery
vs 3 months traditional
6 weeks
Production Libraries
vs 6 months traditional
>80%
Test Coverage
From first version
100%
Documentation
Real-time updates

✈️ Aerospace Libraries

Production-ready avionics protocol libraries delivered in 6 weeks, including comprehensive tests and technical documentation. A traditional team would have required 6 months.

Technologies: Modern C++, Real-time protocols, Multi-threading

🎯 Vision System POC

Industrial laser tracking prototype delivered in 3 weeks, demonstrating real-time multi-camera processing at 60 FPS with 12ms latency. Client green-lighted full production.

Technologies: C++, OpenCV, Real-time vision, Multi-camera tracking

Secure Offline Sandbox Environment

Methodology adapts to strictest security requirements, with isolated offline development for classified projects

  • 🔒

    100% Offline Development

    No internet connection. No data leaves your infrastructure. Complete isolation guaranteed.

  • 🤖

    Local or Air-Gapped AI

    AI capabilities run locally or on dedicated infrastructure. No cloud dependencies.

  • 📋

    Complete Audit Trail

    Full traceability of all development activities. Security documentation included.

  • 🛡️

    Classified Clearance Ready

    Compliant with Secret Defense and classified project requirements.

Security Without Compromise

Same Productivity

5-10x efficiency maintained even in offline mode

Same Quality

Industrial standards, >80% test coverage, full documentation

Same Speed

Time-to-market divided by 4, even with security constraints

Traditional Team vs AI-Augmented Expert

Side-by-side comparison for a typical 6-month project

Criteria Traditional Team AI-Augmented Expert
Team Size 1 senior + 2-3 junior developers 1 senior architect
Timeline 6 months 6-8 weeks
Cost €126k visible + €124-460k hidden costs
(training, management, tech debt)
€90-120k all-inclusive
(no hidden costs)
Documentation Partial, often delayed or incomplete Comprehensive, real-time updates
Test Coverage ~40% (industry average) >80% from V1
Technical Debt Accumulates, requires costly refactoring later Zero - continuous refactoring
Time-to-Market 6 months minimum 1.5 months (÷4)
Security Options Distributed team, cloud tools
(challenges for classified projects)
Isolated offline sandbox available
(classified clearance ready)

Your ROI with AI-Augmented Methodology

÷4
Time-to-Market
40-60%
Budget Reduction
2x
Code Quality
100%
Maintainability

Experience the Difference

Let's discuss how our AI-augmented methodology can transform your project timeline and budget

Schedule a Consultation