Hook
Your team bought the AI coding assistant licenses three months ago. Then the real questions started: Can we let an agent refactor the billing module? Does AI-generated code go through the same review? Is our documentation even good enough for an AI to work from?
Nobody in the room has a criterion — just opinions.
That gap led me to build AI-Driven Development Readiness Check — a free, open-source self-assessment that runs entirely in your browser and turns "are we ready for AI?" from a vibes debate into a score, a level, and a concrete list of what to fix next.
Target Audience
Developers and tech leads who:
- Have adopted (or are about to adopt) AI coding tools but lack shared criteria for how far to trust them
- Want a fast, structured way to locate their team's weak spots before scaling AI usage
- Are wary of "readiness" tools that require sign-ups, uploads, or sending data anywhere
Key Sections
1. The Scene: Tools Deployed, Judgment Missing
- Concrete meeting scene — everyone senses readiness matters, nobody can measure it
- "Is your team ready to embrace AI?" — the app's own opening line as the framing question
2. What I Built (links immediately)
- GitHub: https://github.com/yunbow/ai-dev-readiness
- Demo: https://yunbow.github.io/ai-dev-readiness/
- Free, no sign-up, no code upload, fully in-browser
3. What the Assessment Measures
- 34 questions across 5 axes (Documentation 25 / Process 25 / QA 20 / AI Usage Framework 15 / Project Suitability 15)
- Two courses: Quick ("As little as 2 minutes", 12 questions) and Standard ("About 5 minutes", 26 questions)
4. How to Run It — Three Steps
- Mirror the app's own flow: "Answer the questions" → "Understand where you stand" → "Decide your next move"
5. What the Report Gives You
- Score /100, AI Adoption Level (1–5), estimated effort reduction (up to 45%)
- Per-process AI fitness, strengths, priority improvements, phased roadmap
- PNG export for sharing results with the team
6. One Line on Scoring Design
- Fatal preconditions (no Git, no review, no specs, no tests) cap the total score
- Defer details to the companion deep-dive article — no more than a paragraph here
7. Privacy by Architecture
- "Nothing is sent to a server or external service." — and a Playwright E2E test watches real network requests to prove it
- LocalStorage draft autosave + IndexedDB history (latest 20 results)
8. What This Isn't
- Not a code scanner, not an audit/compliance tool, not a guarantee — a conversation starter with numbers
9. Try It (CTA)
- "Start with where you are today." — close with the app's own CTA and a question to readers
Estimated Length
1,800–2,200 words. Launch article — shorter and more action-oriented than the scoring deep-dive.
Tone Notes
- Lead with the reader's situation (judgment vacuum after AI tool adoption), not the product announcement
- Quote actual UI copy verbatim and in quotation marks — it doubles as a preview of the product
- "A tool I just shipped" honesty: MIT licensed, published July 2026, no adoption numbers to brag about — don't fake traction
- Consistent voice with the bottleneck-scoring article (same author, first person, concrete over abstract), but structure follows the OSS launch template
- Drive to the demo link repeatedly — the article succeeds if the reader runs the assessment
SEO / Discoverability
- Primary keyword: "AI readiness assessment"
- Secondary: "AI-driven development", "AI adoption maturity", "team AI readiness check"
- Target: teams mid-adoption of AI coding tools searching for structure, not tool reviews
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