March 2026 Summaries

Creating an education app involves identifying your target learners and defining specific learning outcomes to guide app development. This process is simplified using Bubble, a platform that leverages AI to generate a complete minimum viable product (MVP) foundation, including workflows, database structures, and privacy rules, which can then be refined through visual editing to suit personalized teaching strategies. The guide emphasizes the importance of understanding the context in which learners will use the app, such as age, prior knowledge, and accessibility needs, to tailor features accordingly. By mapping learning objectives to specific app features, developers can avoid unnecessary additions and focus on core elements, using AI for initial structure generation and manual refinement for precise adjustments. The platform supports building both web and native mobile apps, ensuring cross-platform accessibility and compliance with privacy standards like FERPA and GDPR. Bubble's approach allows for rapid iteration and adjustments based on user feedback, with a focus on maintaining control over app functionality and data security, ultimately enabling educators to create scalable and effective learning tools without needing extensive coding knowledge.

Matt Graham, CEO of RapidDev, shares his insights on building a successful no-code agency in an episode of "The New Build" podcast, highlighting his journey from Harvard co-founder to leading a 220-person company. Despite co-founding a startup that reached a $1.5 billion valuation, Graham moved on to create RapidDev, which focuses on helping founders and enterprises launch products without traditional engineering teams. He emphasizes the importance of launching products early, learning from feedback, and maintaining momentum in entrepreneurship. Graham also discusses his strategic decision to focus on services at a time when others are moving away from them, arguing that expertise and specialized services will remain valuable despite advancements in AI. Throughout the episode, he underscores the significance of reinvesting in the business to facilitate growth and scalability, and he reflects on how understanding one's risk tolerance and making unconventional choices can lead to long-term success.

The guide explores the development of a comprehensive employee expense management system using Bubble AI's visual app builder, emphasizing customization over off-the-shelf solutions. It outlines the process of establishing spending policies, approval workflows, and security controls to tailor the system to specific business needs, offering complete control over integrations and policies without vendor limitations. The system includes features like mobile receipt capture with OCR, automated policy checks, and direct integration with corporate cards and accounting software. It also highlights the importance of fraud detection, role-based access controls, and audit trails for compliance. The guide suggests a timeline for implementation, starting with AI-generated foundations and progressing through testing and company-wide rollout, ensuring a balance between speed and customization.

Building an Android app in 2026 involves strategic decision-making rather than just technical execution, focusing on defining a core problem to solve and selecting an appropriate development path. Utilizing AI-powered visual development platforms like Bubble allows non-technical individuals to create app foundations rapidly without coding, while traditional coding with Kotlin and Android Studio offers more control but requires significant time investment. Cross-platform frameworks like React Native provide the advantage of building for both Android and iOS from a single codebase, though they necessitate some coding knowledge. Emphasizing a mobile-first design, user authentication, and data privacy is crucial, as is testing on both emulators and real devices to ensure reliability. Publishing requires compliance with Google Play’s policies and ongoing updates based on user feedback, with Bubble offering over-the-air updates to streamline the process. Starting with a simple, focused application and expanding based on user input can lead to successful app development, with the Android ecosystem offering vast potential for reaching a global audience.

Creating a real iPhone app has become more accessible by merging AI generation with visual editing, offering a third approach that bypasses the complexity of traditional coding and AI-generated code difficulties. This method allows users to design apps quickly using AI to generate the foundational structure, while enabling detailed customization through visual interfaces without needing to write or understand code. Users can build native iOS apps that align with Apple's design guidelines, test them on real devices for performance accuracy, and submit them to the App Store with ease through platforms like Bubble, which eliminate the need for a Mac. This approach not only accelerates development but also provides full control over app features, allowing for seamless updates and enhancements based on user feedback. By following this path, developers can focus on creating intuitive user experiences and efficient functionalities, ensuring their apps are both user-friendly and maintainable.

Enterprise app development involves creating custom software tailored to meet the complex needs of large organizations, enabling seamless coordination of business processes across departments and locations. In 2026, the most effective approach combines AI-powered generation with visual development, offering both speed and precision, allowing technical and business teams to quickly deploy applications that scale confidently. Enterprise applications distinguish themselves from regular business software by handling organization-wide processes, integrating with multiple systems, and meeting stringent security and compliance requirements. This is increasingly crucial as organizations face heightened regulatory compliance demands, a mobile-first workforce, and the necessity for AI integration to remain competitive. Platforms like Bubble facilitate this by providing tools for rapid application development, security and compliance features, and scalability, allowing organizations to build tailored solutions while maintaining control over data governance and integration architecture. This approach empowers non-technical teams to create robust enterprise-grade applications through intuitive visual workflows and AI assistance, ensuring that businesses can adapt swiftly to evolving requirements without being hampered by traditional development cycles.

The guide explains how to build a production-ready project management app using Bubble's AI-assisted development approach, which allows for a balance between speed and precise control through visual editing. The app will include features such as task management, team collaboration, real-time notifications, and secure user permissions, with deployment capabilities on both web and mobile platforms. It emphasizes the importance of starting with a focused minimum viable product that solves a core problem well, which helps in getting to market quickly and gathering clearer user feedback. The guide also details how to define the data model, set up role-based permissions, build workflows, add collaboration features, and integrate external tools like Slack and email for seamless communication. Privacy rules play a crucial role in ensuring data security by controlling access based on user roles. The app can be extended to native mobile platforms using shared databases and workflows, allowing for real-time data synchronization across devices. Furthermore, the guide highlights the significance of testing for security and functionality, as well as gathering user feedback for iterative improvements. Advanced features like time tracking and resource management can be added as the app scales, with the flexibility to modify and enhance the app's functionalities through Bubble's visual workflows and AI assistance.

Hotel booking apps must prioritize features that enhance user experience and streamline operations to minimize revenue loss due to booking process complications. Key features include smart search with filters and real-time inventory synchronization, which prevent overbooking and ensure transparent pricing. Mobile-first design and global payment processing cater to the growing number of mobile bookings and international travelers. Additionally, multi-language support and guest profiles help foster loyalty and repeat business. Operational features such as a robust admin dashboard, revenue analytics, and integrations with property management and channel manager systems are essential for maintaining inventory consistency and optimizing business strategies. Compliance with data privacy and payment processing standards is crucial from the start to avoid costly retrofits. Prioritization of features varies depending on the business model, with single properties focusing on direct bookings and personalized experiences, hotel chains requiring centralized management, and aggregator platforms needing scalable search and partner management. Bubble's no-code platform enables developers to build comprehensive booking systems efficiently, with the flexibility to scale and integrate across different platforms while ensuring compliance and security.

Sam Rudy, co-founder of ProStudioTime, transformed his frustration with the cumbersome process of booking recording studios into an innovative marketplace solution, despite having no coding background. Drawing on over a decade of industry experience at Miloco Studios, Rudy leveraged his insider knowledge to develop a platform on Bubble that connects artists and studios without the typical back-and-forth emails, allowing users to filter by session type, location, and facility while studios maintain control over availability and rates. ProStudioTime, currently in closed beta with over 130 studios across major cities like London, New York, and LA, underscores the value of industry-specific insight in entrepreneurial ventures, as Rudy emphasizes the importance of early feedback over perfectionism and the necessity of persistence in overcoming the fear of failure. The discussion highlights the shift in music tech from grand creative ideas to practical problem-solving, and the role of AI as a complementary tool, reflecting on the broader industry trends.

The competitive landscape of vibe coding tools, which currently leans heavily on generating JavaScript or TypeScript, presents significant challenges for non-programmers due to the abstraction mismatch inherent in these languages. This gap between human-level concepts and JavaScript implementation often relegates non-technical builders to second-class status, as they struggle to manage the complexities of coding beyond initial prototypes. The reliance on JavaScript necessitates extensive code generation and management, making it inefficient and costly, especially when using AI. Bubble offers a solution by employing a higher-level language designed to map human-understandable concepts directly to code, eliminating the need for imperfect summarizations and allowing for more precise and reliable visual editing. This approach not only makes the codebase more efficient for AI processing but also empowers users with real understanding and control over their software, contrasting with the verbose and often opaque nature of JavaScript-dominated development. Bubble's mission is to make technology genuinely accessible, advocating for a shift away from JavaScript to enable non-coders to build robust applications without the complexities and inefficiencies that currently hinder their progress.

A group of team members explored the potential of Bubble, a no-code platform, by creating innovative games in their spare time, demonstrating its capability beyond traditional applications like SaaS and marketplaces. Paul Davis created "Civic Duty," a parking enforcement simulator with dynamic AI-generated commentary, while Nate Evanich developed "Battle Chickens," a card game featuring unique characters and engaging audio, both leveraging Bubble's existing tools and functionalities. LD Acosta built "Game Zap," a Jeopardy-style game using Bubble's AI Agent for rapid prototyping and content creation, while Andrew Vernon devised a party trivia game, "Not Saying You're Dumb, But...," with AI-generated questions and a user-friendly interface. These projects highlight Bubble's versatility and encourage others to explore the platform's possibilities for building diverse and creative applications.

March's AMA session with Emmanuel addressed a wide array of topics, particularly focusing on the rollout of Bubble's AI Agent and its impact on product development. The AI Agent will soon be available for blank apps not created through Bubble's AI generation flow, with a phased rollout targeting agencies and ambassadors first to manage server load and gather user feedback. Emmanuel emphasized the importance of controlled implementation to enhance user experience, as the AI Agent is designed to eventually suggest architectural best practices for more complex apps. The discussion also touched on the anticipated branching feature in the workflow editor, which is in development to address user requests for conditional workflows, though its complexity means it won't be available soon. Additionally, the mobile plugin editor is set to open for beta access in April, encouraging community engagement. Emmanuel highlighted Bubble's competitive position in the AI-enhanced app-building space, noting the platform's structural advantages in providing user control over app development. Despite the rise of AI, he reassured that there will remain a strong demand for Bubble freelancers, as the nature of work evolves but the need for expertise persists. The session concluded with updates on platform enhancements, including debugger improvements, API connector updates, and the potential for more than two environments, reflecting Bubble's ongoing commitment to optimizing its platform for both novice and experienced users.

Brian Henderson transformed his extensive experience in the laundromat industry into a successful software venture by identifying and addressing a critical technology gap. As the founder of Wash-Dry-Fold POS, he developed a point-of-sale and operations platform tailored specifically for laundromats with drop-off, pickup, and delivery services, integrating with hardware like washers and dryers and delivery services such as DoorDash. His journey from managing his family's laundromats in Oklahoma to selling over 1,200 systems nationwide illustrates the strength of combining deep industry knowledge with iterative, customer-informed development. Henderson's approach emphasizes the importance of launching a product early to receive feedback rather than waiting for perfection, as well as the advantages of bundling hardware and software. His insights extend beyond laundromats, offering valuable lessons on building and deploying software in brick-and-mortar settings, leveraging industry-specific expertise, and the iterative nature of creating a successful product.