community postAL Developmentcommunity - not Microsoftreviewed - checked by Opus

Business Central Development Serie - Part 2: Using AI for BC development

AI tools can accelerate Business Central development when used responsibly with clear guidelines, proper security practices, and human oversight. Success requires understanding AI limitations, establishing coding standards before deployment, implementing CI/CD pipelines, and maintaining developer accountability for code quality and business logic.

Business Central Development Serie - Part 2: Using AI for BC Development

post Kine's info

Kamil Sacek · 2026-03-10 · 4,113 words · about 19 min

"AI is good servant but bad master"

Key points

  • AI excels at code completion and code review but requires human developers to understand requirements, validate approaches, and review output before production use.
  • Security and data privacy demand company policies restricting sensitive code and customer data from AI services; enterprise subscription plans offer better data protection than personal accounts.
  • Establish comprehensive guidelines covering naming conventions, architecture rules, performance standards, error handling, and testing expectations before using AI agents for code generation.
  • Agentic coding tools work best with MCP servers providing Business Central context (table structures, field numbers, object metadata) to generate compilable code.
  • AI cannot replace developer expertise in complex Business Central processes like journal posting or manufacturing planning; it requires specific instructions and manual refinement.

Quotes

  • “AI is good servant but bad master” (Summarizes the core principle that AI is a tool requiring human judgment and oversight, not a replacement for developer expertise and decision-making.)

AL objects mentioned

As named in the post. A name that matches one object page by exact type and name links to it; the others stay as named.

Not found in BC28-30: codeunit “50100”, codeunit “50200”.

Context

  • Features: Code completion with GitHub Copilot, Agentic coding with Claude Code and Cursor, MCP servers for Business Central context, Code review automation, Test generation, Instruction synchronization via VSCode extension, CI/CD integration, Work item analysis

Source: Kine’s info, community blog. Summary, key points and quotes are derived (CONTENT-NOTICE.md); read the original for the full text.