AI-augmented development combining senior expertise with advanced AI delivers exceptional results in record time
Conventional approaches face inherent limitations
Junior developers need 2-3 months to become productive on real-time software projects
Pressure to deliver fast leads to shortcuts that accumulate and slow future development
Documentation is often postponed until after delivery, when details are forgotten
Testing is often sacrificed under deadline pressure, leading to bugs in production
A unique methodology that combines human expertise with AI capabilities
Expert architects design, validate, and orchestrate development
AI-generated code, tests, and documentation meet exact specifications and industrial quality standards
Permanent refactoring and validation ensure zero technical debt and industrial-grade quality.
Architecture
Human designs system
Generation
AI-assisted code generation
Validation
Human reviews quality
Refinement
Continuous improvement
Delivery
Production-ready code
Industrial-grade automation orchestrating the AI ↔ Expert collaboration
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.
Automated analysis of all code (expert-written and AI-generated): style compliance, architectural patterns, anti-patterns detection, security audits.
Specific controls for mission-critical constraints: determinism verification, latency budget measurement, edge case detection.
AI-based tools continuously measure code quality and detect technical debt accumulation before it becomes problematic.
Full documentation of the development process: expert contributions, AI suggestions, review iterations, validation results.
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
Real projects, measurable outcomes
Production-ready avionics protocol libraries delivered in 6 weeks, including comprehensive tests and technical documentation. A traditional team would have required 6 months.
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.
Methodology adapts to strictest security requirements, with isolated offline development for classified projects
No internet connection. No data leaves your infrastructure. Complete isolation guaranteed.
AI capabilities run locally or on dedicated infrastructure. No cloud dependencies.
Full traceability of all development activities. Security documentation included.
Compliant with Secret Defense and classified project requirements.
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
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) |
Let's discuss how our AI-augmented methodology can transform your project timeline and budget
Schedule a Consultation