Jeremy Vyska | #MSDYN365BC MVP
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bc.jeremy.vyska.info
Jeremy Vyska | #MSDYN365BC MVP
@bc.jeremy.vyska.info
🇸🇪/🇺🇸 in Gothenburg Sweden. #MSDYN365BC MVP. He/him. Autistic/ADHD. Dad-joker. Problem solver. Lgbtqia+ Supporter.

This is my business world profile and I'll mostly be engaging in work topics here.
Pretty low feedback so far, will likely push it through today and then when it's live, people will probably have all sorts of opinions 😉
October 17, 2025 at 5:56 AM
I'm most excited about the opportunity for all of us to test this together and refine it based on real BC development scenarios. There's a lot we can learn from community feedback.

What BC development challenges would benefit from this kind of systematic guidance? I'd love to hear your thoughts.
September 22, 2025 at 12:52 PM
• Layer system for company/team customization
• One-click VS Code integration through MCP

🎯 Ready to help test it? Find out more here:
nubimancy.com/2025/09/22/...

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September 22, 2025 at 12:52 PM
✨ What we've included so far:
• 100+ BC knowledge topics from ALGuidelines and community best practices
• 14 AI specialists for different BC development areas (architecture, performance, security, etc.)
• Structured methodologies for common workflows (optimization, testing, integration)
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September 22, 2025 at 12:52 PM
After 30 days of AI-accelerated development, we've built BC Code Intelligence - a system that brings BC domain expertise directly into VS Code. This works well for our development patterns, though there's definitely room for community testing and improvement.

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September 22, 2025 at 12:52 PM
Yep. Link to group in description. 5 min overview vid for "New to Discord"
youtu.be/oUfTr55pOls?...
"BC Professionals" - Discord Basics for the Microsoft Dynamics 365 Business Central Community
YouTube video by Spare Brained Ideas
youtu.be
September 10, 2025 at 3:08 PM
I'm curious about your experiences: Have you seen patterns where generic AI guidance actually made things worse? What's worked best in your domain?

I've even added instructions about how you could play with it to test different models - tell me what you find!
September 9, 2025 at 3:30 PM
I've open-sourced the complete testing framework because I'd rather see more people succeed with AI knowledge engineering than keep this approach to myself.

Full methodology and results: nubimancy.com/2025/09/09/...

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September 9, 2025 at 3:30 PM
The results surprised me. Generic programming knowledge actually _hurt_ performance - we're talking a 4% regression. But when I got the knowledge engineering right? One module went from 64 seconds to 81 milliseconds. That's 746x faster.

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September 9, 2025 at 3:30 PM
Like many of you working with AI tools, I keep hearing about "feeding knowledge to AI," but I hadn't seen systematic testing of whether it works - and more importantly, which approaches work better than others. So I built a controlled experiment with five different knowledge engineering tiers.

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September 9, 2025 at 3:30 PM
This wraps up my 3-part AI transformation series - from skepticism to organizational enthusiasm.

The approach is replicable, but infrastructure and governance matter more than the AI itself.

Full post: nubimancy.com/2025/08/26/...
August 26, 2025 at 2:10 PM
If you're working on AI adoption in your org, curious about your experience:

Have you hit the "individual success but team adoption struggles" wall?

What's worked for making AI accessible to everyone, not just the early adopters?

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August 26, 2025 at 2:10 PM
The formula that emerged:

Without all three elements = individual productivity improvements at best

With all three elements = teams actively requesting AI integration on every project

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August 26, 2025 at 2:10 PM
The most surprising part? Once we had all three elements working together, team transformation happened in about one week.

Despite technical hiccups (VS Code versions, MCP setup), they went from "can we make this work?" to "can we roll this everywhere?"

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August 26, 2025 at 2:10 PM
Business Governance solved the "AI enthusiasm vs business reality" problem.

AI agents would jump into implementation even when requirements had obvious gaps needing stakeholder input. Quality Gates force pause points for business validation.

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August 26, 2025 at 2:10 PM
Knowledge Architecture was the game-changer though. We created ".aidocs" folders - documentation designed specifically for AI consumption, not humans.

AI agents need context about WHY decisions are made, not just WHAT to implement.

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August 26, 2025 at 2:10 PM
Technical Infrastructure meant zero-friction access. If team members need to become AI experts or configure complex environments, adoption stalls at early adopters.

We built a "Bootstrap" system - one VS Code task activates AI guidance in any repository.

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August 26, 2025 at 2:10 PM
The breakthrough came when I stopped thinking about AI adoption and started thinking about AI infrastructure.

Three specific elements made the difference:

Technical Infrastructure + Knowledge Architecture + Business Governance

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August 26, 2025 at 2:10 PM
Here's what I discovered: Individual AI mastery and organizational AI transformation are completely different challenges.

You can be great at using AI personally and still completely fail at scaling those benefits to your team.

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August 26, 2025 at 2:10 PM
This is Part 3 of my AI transformation series - and the gap between individual AI success and team transformation? Way more complex than I expected.

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August 26, 2025 at 2:10 PM