Vibe Coding's Limitations describes the challenges and practical boundaries encountered when applying vibecoding to real-world projects, particularly for organizations with significant technical needs. For large companies with expansive marketing footprints or extensive legacy content, transitioning to vibecoding platforms can be labor-intensive, even though tools like @Cursor and @Bolt.new, powered by AI, simplify the migration process by converting screenshots or existing pages into new builds. Despite this, high enterprise software costs persist, and some companies have successfully replaced expensive platforms, such as Salesforce, by redeveloping essential functionality in-house with smaller engineering teams, as seen in Klarna’s approach. Vibecoding is not a universal solution: for early-stage startups or projects of considerable complexity, experienced engineers remain necessary. Common obstacles include software instability (notably with Bolt), increased operational friction as projects grow, and the need for disciplined version control and deployment processes. Some stability and workflow issues can be mitigated by using Cursor for deployment and integrating with Git. Nevertheless, established solutions like Hubspot or Shopify often provide more reliable and efficient outcomes for certain use cases, though modern AI-driven tools now offer feasible alternatives for custom builds. It's worth remembering that while vibe coding is a thing, so too is @Vibe Hacking. Furthermore, vibe coding is not the same as vibe architecture.

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• #vibe-coding