January 2026 Summaries

RCS for Business is an emerging messaging platform that offers brands a more interactive and engaging alternative to traditional SMS by incorporating features such as buttons, carousels, verified branding, and multimedia support. As businesses navigate the early stages of RCS adoption, it's crucial to conduct A/B tests to determine its effectiveness in improving conversion rates, engagement, and customer satisfaction compared to SMS. Despite its potential, the success of RCS depends on factors like handset compatibility, consistent test environments, and effective fallback strategies when RCS is unavailable. Businesses should ensure that their tests are well-structured, with clear metrics tied to business outcomes, and consider variables like timing, audience size, and the specific messaging use case. While RCS can enhance user experience, its real value lies in delivering measurable business results, and it should be introduced gradually as the technology and ecosystem evolve.

As the use of generative AI becomes prevalent among developers, with 89% utilizing it for daily tasks according to Postman’s 2025 State of the API Report, the developer experience is evolving to accommodate machine, rather than just human, interactions. This shift emphasizes the need for AI-friendly APIs, which require a focus on design, documentation, and discovery—termed the 3 D's. Simple, RESTful APIs are advised to ensure predictability and reliability, as AI agents thrive on clear, consistent interfaces without ambiguity. Machine-readable documentation, such as OpenAPI specifications, is crucial to eliminate guesswork, with detailed descriptions and consistent naming conventions to guide AI decision-making effectively. Furthermore, discoverability is key, meaning documentation should be easily accessible and structured for AI agents to locate and utilize, with speed being a critical factor. As SaaS providers aim to capture the attention of AI agents, investing in AI-informed developer experiences (AX) becomes essential to ensure that APIs are the preferred choice for both AI consumption and recommendation.