This is NOT a traditional internship.
DAIP is a Proof of Worksystem. Participants don't watch videos and take quizzes. They work on real-world inspired engineering tasks, receive immediate AI-powered code reviews, and progress at their own pace.
The “Shadow GitHub” system provides dedicated repositories that mirror real project structures—giving you production-like experience without access to proprietary systems.
Human oversight exists at multiple checkpoints. “Autonomous” means self-paced and AI-assisted, not unsupervised.
A clear, structured process from application to certification.
Submit your GitHub profile and learning goals. No traditional resume required. Takes 5 minutes.
Your GitHub activity and code quality are analyzed. Optional coding challenge for skill verification.
Matched to one of five tracks with a personalized learning path based on your current level.
Access a dedicated repository with real-world inspired issues. Work on branches, submit PRs.
AI-powered code review on every PR. Immediate feedback. Iterate until standards are met.
Human review at the final gate. Verifiable certificate with detailed skills breakdown.
Objective metrics across four dimensions aligned with our research focus areas.
Quality, correctness, and completeness of work
Ability to work independently within the framework
Understanding and integrating human oversight
Ability to instrument, monitor, and evaluate AI systems
Each dimension is scored 1-5. See our full evaluation rubrics for detailed criteria.
Five specializations with progressive difficulty levels.
React/Next.js frontend, Node.js backend, database integration, full feature delivery.
Prerequisites: Basic JavaScript/TypeScript
Capstone: Build a complete feature for a DevSimplex template project
API design (REST, GraphQL), database modeling, authentication, performance and scaling.
Prerequisites: Any backend language
Capstone: Design and implement a microservice
CI/CD pipelines, container orchestration, Infrastructure as Code, monitoring.
Prerequisites: Linux basics, CLI comfort
Capstone: Deploy a multi-service application with full pipeline
LLM integration, prompt engineering, RAG systems, AI agent development.
Prerequisites: Python, ML fundamentals
Capstone: Build an AI-powered feature with proper safeguards
Test strategy design, automated testing, performance testing, security testing basics.
Prerequisites: Testing concepts
Capstone: Create a comprehensive test suite for a DevSimplex project
No fixed schedule. Work when it suits you.
Recommended commitment for steady progress.
Maximum duration. Extensions available.
Start with just your GitHub profile. No resume required. We'll evaluate your code, not your credentials.