Explore our latest articles on software development, design thinking, and digital transformation strategies.
The best AI features do not feel magical. They feel trustworthy. Here are the UX patterns that earn trust — confidence signals, graceful failure, reversibility, transparency — and the design mistakes that kill adoption.
A complete guide to custom software and SaaS development in 2026 — the decision framework, the phases of a build, common failure modes, how AI-augmented development changes the math, and how to vet a partner.
An AI-augmented engineering team is not just faster. It has a different cost structure, different bottlenecks, and different failure modes. Here is a framework for thinking about the economics.
Zapier is great at moving data from one app to another. AI automation is a different thing — it makes decisions, writes, summarizes, and handles exceptions. Here is what that actually looks like for a small business.
Vertical SaaS founders do not need another generalist AI productivity thread. Here are the shortcuts that actually compound when you are building narrow, opinionated software for a specific industry.
Chat UI, conversational UI, and agent UI get lumped together, but they have different goals, affordances, and failure modes. Picking the wrong one is one of the top reasons AI products feel off.
Thirty days is not a marketing slogan. It is a forcing function. Here is the playbook we use with founders to go from a napkin sketch to a deployed MVP that real people touch.
AI features break differently than deterministic code. Here's the testing stack that keeps them honest — unit tests, golden sets, property tests, and CI-integrated evals.
A year-end look back — what we shipped, what surprised us about AI tooling and client appetite, and the few things we'd do differently if we ran 2025 over.