The Complete Vibecoding & Speccoding Resource Hub
Complete vibecoding series 2026 - the most comprehensive collection of vibecoding, speccoding, and AI-assisted development resources on Substack.
Most AI building guides teach you to generate output.
This one focuses on how to ship things you can stand behind.
This hub is part of Builder Track 2, for people who want to turn ideas into real, trustworthy products.
You’ll learn how to go from vague intent to shipped features people actually use—and can rely on. You don’t need to be an ML engineer. You need curiosity, judgment, and the willingness to build in public and learn fast.
This hub focuses on:
vibecoding as a product-building discipline
shipping responsibly, not just generating output
prompts, systems, and tools used in real product work
This hub is actively maintained and always growing.
New guides and resources are added weekly.
Subscribe so you don’t miss updates.
Choose Your Starting Point
If you’re new to vibecoding, start with the Foundation & Methodology section and work top to bottom.
If you’re already building, jump to Build in Production and Technical Stack & Tools.
Foundation & Methodology
Start here to understand the fundamentals and core mental models:
The Ultimate Vibecoding Guide From Builders Who’ve Shipped
Key insight: 16-step practitioner playbook from concept to shipped product.
Best for: Vibecoders learning, shipping, or scaling real products.
Key insight: A curated collection of reusable vibecoding prompts, templates, and decision frameworks used in real product work.
Best for: Builders shipping real products with AI.
100 Most Common UI Elements For Vibecoders
Key insight: A practical reference of UI components vibecoders regularly design, prompt, and ship.
Best for: Builders working on frontend features and product interfaces.
Vibecoding, Spec-Driven, and the New AI Development Lexicon
Key insight: A clear distinction between vibecoding, spec-driven development, and hybrid workflows.
Best for: Understanding the terminology, tradeoffs, and frameworks.
Vibecoding, But Smarter: The PRD Prompt That Audits Itself
Key insight: PRD Builder Prompt with self-auditing for hallucinations & failure modes.
Best for: Vibecoders defining and validating product requirements.
Rules-For-AI Generator: A Beginner-Friendly System
Key insight: Reusable prompt architecture for environment-aware AI generation across Replit, Cursor, Lovable, and Gemini.
Best for: Everyone building with AI.
Build in Production
If you’ve already been vibecoding, use the resources above, or jump straight to these:
Vibecoding x Cybersecurity: The 2026 Builder Survival Guide
Key insight: Common security vulnerabilities in intuition-based vibecoding and a decision matrix for responsible shipping.
Best for: Builders shipping to production.
I Broke Replit So You Don’t Have To
Key insight: Hard-earned Replit workflows, edge cases, and workarounds from real product builds.
Best for: Replit builders.
Is Your Replit Looping? This Will Help.
Key insight: How to diagnose looping behavior, context failures, and runaway agents.
Best for: Debugging Replit-based builds.
Self-Improving Prompt System for Consistent AI Results
Key insight: Framework for creating prompts that self-audit and improve with each iteration.
Best for: Builders learning prompt engineering.
Step inside the world of a PM who codes with AI—where building, breaking, and launching products in public is just another Tuesday. And where perfection takes a back seat to progress. As it should.
Key insight: Fast diagnosis and fixes for common authentication failures in AI-powered apps.
Best for: Builders blocked by auth errors.
Build with Attitude
👉 View all posts in this series.
Key Insight: AI is a tool. Judgment is a skill. You need both to build quality products.
Best For: Product builders and solo founders with a high bar for product craft.
Technical Stack & Tools Deep Dives
Choosing your AI stack? Start here to pick the right tools for each part of your workflow.
Anthropic’s Claude Skills: A Practical Deep Dive
Key insight: A hands-on breakdown of Claude Skills, including real workflows, setup patterns, and practical use cases.
Best for: Builders implementing Claude Skills.
10x Your Productivity with Perplexity Comet
Key insight: Using an agentic browser for research and builder workflows.
Best for: Research-heavy product work.
Why “it feels worse” is the wrong metric for evaluating ChatGPT-5.2
Key insight: Most debates about ChatGPT 5.2 focus on how it feels, not how it behaves under stress. The real change isn’t intelligence or creativity — it’s reliability, instruction persistence, and failure patterns, which matter far more for builders shipping real products.
Best for: Product leaders, AI builders, and teams evaluating model upgrades who care about reliability, evaluation, and production readiness.
Lazy Yet Powerful Automations With AI
Key insight: Copy-paste automations with minimal setup and real payoff.
Best for: Builders automating repetitive work without overhead.
Related Resources
As always, feel free to DM me, I’m just a message away! I respond to every message.
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Last updated Jan 2026







