Of course your product is AI-based. There is no need mention this anymore. Tech loves a fashionable label. Web 2.0 had its moment, then mobile, then the cloud. Do not tell me your product uses AI. Tell me what your product can do that was impossible before AI existed.
In the first of a series exploring infrastructure fundamentals, Brenden addresses the most frequently asked questions about what's really happening under the hood with complex pipelines and AI/data systems, bringing the cloud to life.
What will the state of AI be like in a year's time? Here are Mike Veerman's predictions of what major things will happen next in AI
For small teams without a designer, v0 is a game-changer. The cost justifies itself by letting you explore and validate ideas in minutes rather than days.
I switched from Cursor's BugBot ($40/month) to Claude Code for code reviews. Setup is straightforward in VS Code, and Claude's bug detection has been notably better. While it still flags null reference checks like most AI reviewers, the difference in catching actual bugs is significant.
AI is not replacing developers, but it is replacing developers who refuse to use it. The real skill lies in how well you steer, validate, and challenge the model. Fundamentals matter, but today’s best engineers treat AI as an amplifier, not a crutch.
AI agents aren’t just chatbots. They observe, plan, and act to solve problems across systems. Powerful for workflows but costly and prone to errors, their value comes from tackling focused business problems, not the hype.
Pull requests are invaluable for sharing knowledge and improving code quality, but in small teams reviews often get rushed or skipped. AI reviewers like Cursor’s Bugbot step in to bridge the gap. For teams short on review capacity, it can add meaningful value.
When selecting AI tools, companies must go beyond productivity and consider compliance, community support, and team management. Discover madewithlove’s pragmatic approach to responsible, scalable AI adoption.