The Best Fluffy Pancakes recipe you will fall in love with. Full of tips and tricks to help you make the best pancakes.
CHEAPUNO guide
Should I code manually before using AI for review?
Learn the logic gaps in your workflow by building the base code yourself, then use AI to validate the structure instead of replacing the process.
Cover
Photo: StockSnap (CC0)
Spotlight
PAGE: https://alison.com/course/vibe-coding-basics
PROMISE: Code manually to learn logic, then use AI review to catch mistakes faster.
WHO: Intermediate developers who code manually and want to add an AI review layer.
WHYNOW: AI tools are changing how code is written, but manual oversight still prevents failures.
DESC: Enhance your software development skills by mastering AI-powered vibe coding, turning simple natural-language instructions into fully functional code.
BEFORE: Writing code manually without a structured way to leverage AI help
BEFORE: Feeling lost when AI outputs don’t match your manual implementation
BEFORE: Lacking confidence in whether to trust or reject AI-generated fixes
AFTER: Using AI as a review tool after establishing your own manual logic
AFTER: Applying clear prompt frameworks to direct AI toward your specific codebase
AFTER: Actively verifying AI output through human quality assurance checks
GAIN: A structured method to blend manual coding skills with AI assistance
GAIN: The ability to craft precise prompts that align with your own logic
GAIN: Confidence in identifying when AI oversight is needed to prevent errors
STEP: Feeling stuck writing code from scratch without clear logic || Explain how to prompt AI tools to build small games or utility apps || Draft the manual solution first, then use structured prompts to let AI generate the app
STEP: Unclear how to ask AI for specific fixes to your handwritten code || Explain how to craft effective prompts using structured frameworks || Use clear frameworks to request specific feature reviews and bug fixes from AI
STEP: Blindly trusting AI output without checking for hidden errors || Recognise the importance of human oversight and quality assurance in the vibe coding process || Manually verify AI suggestions against your own logic before merging changes
NOTFOR: Beginners who have not yet learned basic programming syntax
NOTFOR: Developers who want to rely on AI to write all code without manual review
FACT: Average duration: 3-4 Hours (Contains Video)
FACT: CPD-accredited certificate available
FACT: Intermediate level
COVERS: Explain the concept of vibe coding and its philosophical shift in software development
COVERS: Distinguish between traditional coding practices and vibe coding methodologies
COVERS: Identify ethical considerations when using generative AI tools in vibe coding
COVERS: Explain the benefits of rapid prototyping through vibe coding
COVERS: Recognise the importance of human oversight and quality assurance in the vibe coding process
COVERS: Assess the risks and limitations of vibe coding
COVERS: Explain how to craft effective prompts using structured frameworks
COVERS: Identify the importance of clarity in defining goals, and styles within prompts
COVERS: Discuss how to use natural language prompts to request specific features
COVERS: Recognise common output errors in AI-generated software
COVERS: Apply descriptive terms to influence visual styling during prompt generation
COVERS: Explain how to prompt AI tools to build small games or utility apps
MODULE: Understanding Vibe Coding as a Creative Process || What Is Vibe Coding? | The Role of Generative AI Tools | Benefits and Limits of Vibe Coding
MODULE: Mastering Prompt-Based Development || Writing Effective Prompts | Debugging by Prompting | Refining UI and Design via Prompts | Applying Vibe Coding to Projects
What you are probably seeing
You notice that skipping the manual build leaves you unable to spot structural errors because you lack the mental model of how each piece connects.
When you paste code into an AI tool, the feedback often feels generic or misses the deeper logic issues that only become clear when you struggle through the implementation yourself.
Why it happens
Manual coding forces you to confront the logic in real time, creating the mental framework needed to distinguish between syntax errors and architectural flaws.
AI tools operate on patterns and can mask the learning process, so relying on them first prevents you from building the intuition needed to actually evaluate their suggestions.
What changed recently
Step by step
1. Write the core logic for one small feature by hand without asking AI for the full solution.
2. Run the manual code to see where the structure breaks and note the specific errors you encounter.
3. Prompt the AI to review the structure of your handwritten code, not to write the code for you.
4. Compare the AI feedback against your own observations to identify which points highlight real logic gaps versus style preferences.
5. Refine your manual implementation based on the validated structural advice before moving to the next feature.
Ways to go further
Start here: Vibe Coding Basics Open the free course on Alison ↗
Affiliate links: CHEAPUNO may earn a commission if you buy through them, at no extra cost to you.
Other problems readers raise
Do functional styles improve AI code generation?
Bootcamps vs Self-Study: Which builds better coding skills?
Is Gerrit overkill for your team size?