Interview, Fireside Chat
Base44’s Founder, Maor Shlomo on How Vibe Coding Will Kill SaaS
- AI model prices are predicted to trend toward zero, driving a shift in industry strategy toward rapid market capture and growth rather than immediate margin optimization, while competitors face intensified pressure to innovate before features can be replicated in weeks or months.
- The "vibe coding" sector is expected to expand into the software industry's largest category, absorbing traditional tools like CRM and project management, with Salesforce and Microsoft anticipated to integrate built-in coding capabilities within three to five years to allow users to customize interfaces.
- Software architecture is forecast to evolve toward liquid, owned assets where buyers possess their code and data, potentially allowing smaller teams to build complex systems like custom CRMs more easily than purchasing licenses, though this transition may take years for large enterprises.
- Market dynamics suggest a "winner-takes-all" dynamic for model providers is unlikely to hold, as a "tough race" will persist with users switching providers instantly based on price and performance, prompting vendors to offer tools across the entire value chain from CLI to end-user interfaces.
- Business models are projected to shift significantly as 95% to 100% of code in non-legacy companies is expected to be written by AI agents within two years, necessitating vertical integration to avoid commoditization by model providers who may build agents directly into their platforms.
- The industry anticipates a structural change where fewer, smaller software companies survive, with front-end CRM layers lacking a moat potentially eliminated, while new value opportunities emerge in non-sexy, high-regulation industries like law and healthcare.
- Strategic plans include maintaining lean, small organizational structures by leveraging external support for operations and legal, aiming to scale from hundreds of thousands of users to significant impact while avoiding the talent wars typical of Silicon Valley.
- Risks include the commoditization of simple applications and the difficulty of replicating complex, real-world use cases requiring layers of integration, which constitute the primary competitive moat, alongside the potential for open-source models to eventually dominate high-margin usage.
- Economic value creation is expected to remain far below its surface potential, with efficiency gains leading to cheaper, better products where margins for model providers may bottom out due to pricing wars and the adoption of intelligent routing to smaller, cheaper open-source models.
- Specific market splits are anticipated between developers seeking code access and non-technical users, with tools like Cursor and Cognition moving upmarket and platforms like Base44 moving downmarket to enable new levels of software construction, creating a wider emotional feedback spectrum in consumer markets.