I designed and built Agentic SDD AutoLearner, a 60-day hands-on learning system that teaches soft...I designed and built Agentic SDD AutoLearner, a 60-day hands-on learning system that teaches soft...
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I designed and built Agentic SDD AutoLearner, a 60-day hands-on learning system that teaches software engineers how to work with AI agents using Spec-Driven Development.
The project combines an AI tutoring protocol with executable tooling, persistent learning state, automated verification and phase-based assessments.
A core design principle is that the AI acts as the tutor, not the engineer. For most of the program, it can challenge and review a learner’s specifications, but it cannot write them. This forces the learner to develop the engineering judgment required to evaluate AI-generated work later.
I designed the system around:
• 6 progressive learning phases • 14 executable labs and 14 written drills • 122 automated checks • 6 competency gates with open rubrics • Persistent local progress tracking • Spec-Driven Development workflows • Claude Code integration • A final capstone on a real repository • Zero third-party runtime dependencies
The result is a fully local, executable learning system that goes beyond teaching prompts. It trains engineers to specify work, direct AI agents, review their output, verify results and measure the development cycle.
Built from concept, pedagogy and architecture through implementation, testing, packaging and commercial release.
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The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started