2.1.1 - The Only Path Your Prototype Actually Needs to Walk - Define the prototype path: say what the prototype is meant to teach, which path will test it and what signal counts as proof.
The vibe2value framework
Build it
Make it, without overbuilding.
Build is where those decisions become working software. The trap is doing too much: rebuilding what you could reuse, or polishing what does not matter yet. These ideas help you build the smallest thing that proves value, reuse what you can and put your effort where it counts.
- Prototypethe smallest version that shows value
- Assemblewhat to reuse, what to buy, what to build
- Differentiatethe one thing that makes it worth using
2.1.2 - Where the User First Feels Value Is Where to Start Building - Find the first value moment: point to the moment the user first feels relief or progress and the step immediately before it.
2.1.3 - What This Build Is Meant to Teach You, Not Just to Ship - Name the learning goal: say what you believe, what the build needs to answer and what signal will prove or weaken that belief.
2.2.1 - The Routine Work Checklist Nobody Talks About - Define the routine work checklist: say what repeats, who owns it and what done looks like each time.
2.2.2 - Buy vs Build Is a Strategy Choice, Not an Engineering One - Make the buy versus build decision: say what the decision is about, why one side wins and which constraint makes the call.
2.2.3 - Understanding the Shape of the System Before You Change It - Map the system shape: say which part owns what, what each part depends on and where the important handoff happens.
2.3.1 - Where the Real Differentiation Actually Lives in Your Build - Name the real differentiation: point to the advantage, show where the user feels it and say what should remain standard.
2.3.2 - Why Cutting Features Is a Design Skill Most Builders Skip - Choose the feature cut: say what stays central, what gets removed and why the product becomes stronger because of that cut.
2.3.3 - The One Metric That Proves This Works for Real Users - Define the proof metric: say what the metric is, what user behavior creates it and what threshold counts as enough.
Blog posts and sessions on building it.
All the research, nothing to show for it - what if you could deliver this week? - You bought the books. Watched the tutorials. Spun up projects on three different stacks with two different AI coding tools. Investigated frameworks, compared hosting platforms, read threads from people who sound like they have it figured out.
Reviewing AI-Assisted Code Changes - When AI changes a lot of code quickly, review is no longer about reading lines. It’s about making sure you still understand what will happen in production.
Don’t Reinvent the Wheel, Question the Price Tag Instead - More people are pausing and asking a simple but powerful question: “Should I really be paying this much for that?”