Speed without standards is technical debt
AI-generated code is useful only when it follows architecture constraints and review discipline.
BUNKROS AI Training
Ship cleaner software faster with AI-assisted engineering workflows.
Use AI for design, coding, reviews, tests, and debugging while preserving code quality, security, and maintainability.
Why This Matters
Strategic relevance before tactical execution.
Prompt quality shapes code quality
Engineering prompts require context, boundaries, and acceptance criteria.
Teams need shared patterns
Consistent workflows prevent code-style drift and hidden security issues.
What You Will Learn
Practical capabilities you can apply immediately.
- Create coding prompts with architecture and quality constraints.
- Use AI for refactoring without introducing regression risk.
- Generate tests and edge-case scenarios from requirements.
- Perform AI-assisted code reviews with security focus.
- Implement debugging workflows that isolate root causes faster.
- Build team-level standards for AI coding assistants.
Curriculum Modules
A structured path from foundations to implementation.
Module 1: Engineering Prompt Foundations
Define robust prompt structures for maintainable code output.
Module 2: AI Pair Programming Workflows
Use AI for implementation while preserving architecture consistency.
Module 3: Testing and Verification
Generate tests, assertions, and quality gates from specs.
Module 4: Secure Code Generation
Catch insecure patterns and enforce review controls.
Module 5: Refactoring and Legacy Modernization
Accelerate cleanup and migration tasks safely.
Module 6: Team Standards and Governance
Operationalize AI coding policies across repositories and teams.
Tools Covered
Tooling choices tied to workflow outcomes.
GitHub Copilot
ChatGPT
Claude
Cursor
VS Code
SonarQube
Jest
Playwright
Snyk
Who This Is For
Built for operators, builders, and strategic teams.
- Developers integrating AI into daily engineering workflows.
- Engineering managers defining AI coding standards.
- Product teams shipping AI-accelerated features.
- Technical founders balancing speed and software quality.
Outcomes and Career Impact
Execution outcomes with direct professional value.
Outcome
Increase development velocity without compromising code quality.
Outcome
Improve test coverage and reduce avoidable regressions.
Outcome
Establish security-aware AI coding standards.
Outcome
Create a reusable AI engineering playbook for your team.
Testimonials
Social proof placeholder for upcoming cohorts.
Placeholder: "Our pull requests became faster and cleaner after this course."
Placeholder: "The debugging framework alone paid for the program."
Pricing
Transparent placeholders for free, pro, and enterprise paths.
Starter
EUR 0
AI coding checklist and prompt starter pack.
Pro Cohort
EUR 649
6-week sprint with review and feedback sessions.
Enterprise
Custom
Team rollout with repository standards and coaching.
Ready to Start
Engineer faster without sacrificing code integrity.
Join the code generation sprint and standardize AI-assisted development across your stack.
AI Business Operations
6-week applied sprint
AI Models Compared
4-week decision lab
AI Ethics and Governance
5-week governance intensive
AI Models Architecture
5-week architecture lab
AI Code Generation Systems
6-week engineering sprint
AI Creative Workflows
5-week creative studio
AI Image Generation
5-week visual lab
Neural Networks Foundations
6-week technical foundation
Prompt Engineering Systems
4-week prompt lab
AI Video Generation
5-week motion lab