The rise of AI-powered coding assistants has sparked a fascinating shift in the consulting world. Functional consultants, traditionally focused on business processes and requirements, are now picking up coding tools and creating technical solutions themselves. This phenomenon, often called “vibe coding,” is reshaping team dynamics and project workflows. But is this evolution beneficial, or does it create new challenges?
Vibe coding refers to the practice of using AI assistants like GitHub Copilot, ChatGPT, or Claude to write code based on natural language descriptions and high-level understanding, rather than deep technical expertise. For functional consultants who understand business requirements intimately but lack extensive programming experience, these tools offer a tempting shortcut to implementation.
Consultants can quickly generate AL code snippets, table extensions, or API wrappers using natural language prompts. What might take hours of manual coding can be drafted in minutes. This speed is particularly useful in sandbox or prototyping phases.
Functional consultants, who understand business processes but may lack deep AL knowledge, can experiment with configurations or customizations. This bridges the gap between functional understanding and technical execution, leading to better collaboration.
For junior technical consultants, Vibe Coding serves as a teaching companion. It can suggest syntax, help avoid errors, and guide them through standard Business Central development patterns.
AI-driven code suggestions can align to best practices and Microsoft guidelines (if the tool is properly trained), ensuring consistent code quality across teams.
AI tools can produce functional code that appears correct but lacks performance optimization or security validation. If used directly in production environments, this can lead to instability or compliance issues.
Overreliance on Vibe Coding may cause consultants to skip the learning curve of understanding Business Central’s architecture, data model, or event-driven patterns. This can erode long-term technical expertise.
AI-generated code might not have clear authorship or documentation. In regulated industries, this creates challenges during audits or code reviews, especially if traceability is required.
If the tool transmits prompts or metadata to external servers for AI processing, it could expose sensitive business logic or schema information. This must be reviewed against company data protection policies.
Vibe Coding doesn’t replace technical consultants — but it changes their role:
In essence, Vibe Coding shifts technical consulting toward higher-value work, provided governance and quality checks exist.
Vibe Coding represents a powerful step toward modernizing Business Central development. It can improve efficiency, empower functional teams, and streamline solution delivery — but only when implemented with strong governance, code review, and data protection policies.
Rather than diminishing the role of technical consultants, Vibe Coding highlights their importance. They become the architects and quality guardians who ensure that AI-generated work aligns with business goals, technical standards, and long-term sustainability.
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Original Post https://ammolhsaallvi.blog/2025/10/21/💡-should-consultants-use-vibe-coding-in-business-central/