Tools: AI Hype but NO Result ?

Everywhere you look, people are bragging about AI. “I refactored my whole codebase in 10 minutes.”
“I built a demo app in a weekend.”
“Look, ChatGPT wrote my tests.” Cool. But what is the result? Most of what we see shared online is surface level wins: What we don’t see nearly enough of: Writing a CRUD app faster is not transformation.
Generating boilerplate is not disruption. The hard part has always been and still is: AI is impressive. The tools are powerful.
But until we start sharing actual before/after numbers, it’s mostly hype theater. I’d love to see more posts like: “Here’s how AI reduced our support tickets by 18%.”
“Here’s how we cut deployment time in half.”
“Here’s the revenue impact after 3 months.” Less flexing.
More results. Because in the real world, demos don’t pay salaries, outcomes do. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse - Small demos
- Toy projects
- One-off refactors
- Pretty screenshots
- “Vibe coding” experiments - Real production metrics
- Revenue impact
- Customer outcomes
- Reduced churn
- Faster delivery cycles
- Lower operational costs
- Measurable business value - Integrating into messy legacy systems
- Changing real workflows
- Shipping reliably
- Maintaining quality
- Aligning with business goals