Software and SaaS development
Digital products that solve, scale and evolve.
Insights
Guides, analysis and lessons on product, artificial intelligence, growth, communications and cloud.
Editorial themes
Digital products that solve, scale and evolve.
AI systems for real-world processes.
Demand, catalogue, partners and conversion.
Every conversation in the right channel.
Available, observable and ready services.
Learn how to deploy schema changes while application versions coexist, using validation and gradual removal to reduce disruption and risk.
↗
Learn which tasks are best handled by rules, which may benefit from AI, and when to combine them based on data clarity, the cost of errors, and exception handling.
↗
Compare persistent migration with read-time transformation based on consistency, performance, and consumers. Use practical criteria to choose an approach and plan a reversible transition.
↗
Decide where to validate each piece of data based on user experience, authority, and the cost of errors. A practical framework for combining the interface, server, and asynchronous processes.
↗
Define data freshness according to the decisions it supports. Set acceptable delays, make lag visible, and decide what to do when information becomes outdated.
↗
Learn how to choose product analytics events and properties based on real decisions, reduce noise, and verify that your data is reliable before using it to guide product work.
↗
Design verifiable attribution rules, conversion statuses, and evidence to settle affiliate commissions with fewer disputes.
↗