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fbakkensen@BCDEV: ~\ALProjects\BCBlog
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BC Development .ps1
PS C:\Blog>

Write-Output "Deep Dive into Business Central Development"

AuthorFlemming Bakkensen · Posts32· Updated2026-05-11
PS C:\ALProjects\BCBlog> Get-ChildItem -Path .\posts\ -Filter *.md | Sort-Object LastWriteTime -Descending
01

Constraints, Not Taste: Building a VS Code Theme as a Non-Designer with ChatGPT, GPT Image 2, Claude Design, and Claude Code

I couldn’t find a VS Code dark theme that fit two requirements I cared about: comfortable for long coding sessions, and readable for colorblind developers. The marketplace options I tried either dimmed comments past the point of usefulness, relied on red and green to carry meaning, or pushed contrast hard...

PS> Read-Post -FullContent
02

Why Software Fundamentals Matter More in the Age of AI

TL;DR Software fundamentals matter more now than they ever have, agents made skipping them more expensive, not less. Coding was the bottleneck. Agents made coding fast, for prototypes. Past prototype scale, the slower work (design, naming, structure) is the precondition for the speed compounding instead of collapsing. Six quotes from...

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03

Why Multiple Models Matter: GitHub Copilot CLI's Subagent Architecture

If you’ve ever had an AI code review that missed something obvious, or gotten a plan that seemed solid until implementation revealed hidden assumptions, you’ve encountered the blind spot problem. Every model—even the best ones—has blind spots. The real question isn’t which model is perfect. It’s how do we mitigate...

PS> Read-Post -FullContent
04

Quality Gates for Coding Agents: How Stop Hooks Add Validation Checkpoints

PS C:\DevProjects\DevBlog> Get-Content .\Architecture\StopHookQualityGates.md 🎯 Introduction In a previous post, I wrote about feedback loops through compilation, static analysis, and testing — mechanisms that let AI coding agents validate their own work iteratively. Those loops operate at the code level: does it compile, does it pass analysis, do the tests...

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05

Plugin Marketplaces for Coding Agents: A Practical Guide

PS C:\DevProjects\DevBlog> Get-Content .\Architecture\PluginMarketplaces.md 🎯 Introduction Coding agents produce a growing number of reusable artifacts — skills, agents, MCP servers, and hooks. Agents have matured to the point where they self-correct through feedback loops and handle real complexity. But sharing what we build with them still looks a lot like...

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