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For 57 days, the tutor refuses to write your specs.
It challenges them, reviews them line by line, and questions your decisions. But it won't write them for you. Even if you ask directly.
Then comes the capstone, and that restriction lifts.
Because the real skill was never just writing a spec by hand. It’s knowing whether an AI-generated spec is good enough to trust and execute. And you can’t properly judge one you’ve never learned to write.
That’s Agentic SDD AutoLearner, a 60-day, hands-on system that teaches software engineers Spec-Driven Development for AI agents.
The rule that holds it together is simple:
The AI is the tutor. You are the engineer.
⚡ 60 days · ~1 hour/day
🧪 14 runnable labs + 14 written drills
✓ 122 automated checks that grade your work
🎯 6 phase gates with open rubrics. You advance by passing, not by showing up
🏗️ A real capstone on your own repository
💻 Runs locally with Claude Code
By Day 61, you can take a real feature, spec it, direct an agent through implementation, review what it produced with actual engineering judgment, and defend what the cycle cost with numbers.
If you bill clients for this kind of work, that last part matters.
The spec formats, review rubrics and metrics you learn are yours to apply to real client projects. And the work you produce during the course is yours.
Already know tokens, context windows and tool loops?
Pass Gate G1 and start at Day 11.
You build. The AI teaches. The system verifies.
Agentic SDD AutoLearner v1.0.0. $49.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Fantastic work Samuel🔥
anthropic just published claude's system prompts officially. and they update them with every release.
now you can see exactly what instructions a model gets before you even type your first message. and more interesting — you can track how those instructions changed release over release.
why it's worth reading:
→ you see why the model answers the way it does, not some other way
→ you understand the actual logic behind its limits and permissions
→ you write better prompts yourself, just by reading how anthropic writes theirs
rare case of a company showing you the kitchen, not just the finished dish.
docs.claude.com/en/release-notes/system-prompts
Seeing how the instructions evolve with each release is probably the most interesting part.
Generative AI like Coding AI or LLMs in general they really need an expert guiding them or a harness to steer them or even a goal they look up to when they start working.
I joined the Contra Seedance Challenge which is running through CapCut and I was sure I would win it with the idea I have in mind. I checked on the entries daily to see what people are posting. I was getting more confident I would win.
Why?
Most of the submissions were short and don't have a story. Like random clips that shows the power of a new model.
Yesterday, two days away from the deadline. I opened my loaded CapCut account (they granted me 5k credits) and started writing the story. The epic scenario that will crash everything else.
The dreams of making a hit. Netflix calling me to sign to make a full series. You know the endless dreams.
Then I started working and everything was falling apart. The only think I hear myself saying what is this stupid model. What is this garbage.
The submissions I saw were beyond my reach. I can't dream about making something like what I saw.
The idea was an anime style with French touch. On the last try, I just asked the director to do what ever it sees fit. I spent 5300 of credits and nothing was near my expectations.
Well to be honest I gave a long prompt in two takes and the model or director hallucinated big time it jumped from style to another and switched roles and so on. You can check the results .