Welcome to Dabble Lab Learning
The role of software engineers and architects has fundamentally changed. As AI transforms how we build software, the human contribution is no longer primarily about writing code—it's about something more strategic and impactful.
Outcome Engineering
At Dabble Lab, we're pioneering what we call outcome engineering: a discipline focused on understanding the what and why behind initiatives, then orchestrating the combination of AI tools, processes, and human insight needed to deliver real results.
This isn't just about prompting AI or managing agents. It's about:
- Defining meaningful outcomes that align with business goals and user needs
- Architecting solutions that leverage AI capabilities while understanding their constraints
- Orchestrating workflows between humans, AI agents, and traditional systems
- Measuring impact beyond lines of code—focusing on value delivered
What You'll Find Here
This site documents our exploration of this new paradigm. You'll find guides, patterns, and lessons learned from real projects where we've navigated the shift from traditional software development to AI-augmented outcome delivery.
Explore 300+ videos on our YouTube channel and 125+ open-source projects on GitHub—spanning both traditional development and emerging AI-native approaches.
The content here reflects our journey and continues to evolve. Some resources cover foundational technologies we've worked with; newer content explores the frontier of human-AI collaboration in software development.
Current focus areas: AI orchestration, prompt engineering at scale, agent-based architectures, and rethinking software development workflows for the AI era.