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Malleable Software in the AI Age: Balancing Custom Code with Solid Bases
Key points
- AI lowers the barrier for individual software creation.
- Collaborative software development remains complex.
- Options include building from scratch, vibe-coding, and low-code platforms.
- No single ideal solution exists for current software development needs.
AI's Impact on Software Development
The productivity tools market is experiencing significant changes, driven by the advent of AI. AI has lowered the barrier to entry for software creation, making it possible for individuals to develop small applications to solve personal problems. This accessibility marks a new era in software development, moving beyond traditional methods.
Challenges in Collaborative Software
While AI simplifies individual software creation, developing collaborative applications presents greater complexity. Team-based software requires features such as data storage with relations, concurrent editing, notifications, change history, and permissions. These requirements make it challenging to implement all necessary functionalities when starting from scratch or using basic AI-generated code.
Approaches to Malleable Software
The article examines different approaches to creating malleable software in the AI age. One option is to build entirely from scratch using AI tools like Claude Code or Codex, which offers flexibility but requires managing all infrastructure. Another approach is "vibe-coding" with tools like Lovable or v0, which provides hosted apps and basic features but can become restrictive when outgrowing the generator's capabilities. Low-code and app builders like Retool and Softr have historically offered a "solid base + custom code" model.
The Dilemma of Choice
The current market offers no single ideal solution for software development, particularly for niche needs like a small mushroom farm. Each approach—building from scratch, vibe-coding, or using low-code platforms—comes with its own set of problems and future hopes. The core question remains whether to always start from scratch with AI or to tailor a solid base with custom code to meet specific requirements.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
The productivity tools market is undergoing significant changes due to AI, which lowers the barrier to software creation. This shift raises questions about whether to build software from scratch using AI or to customize existing solid bases with custom code, especially for collaborative applications. The article explores the challenges and future potential of various approaches to software development in this evolving landscape.