From our SaaS audits
What we find inside SaaS companies
Patterns from the technical due diligences we run for investors and boards.
Newsletter
Human-written AI news, tutorials and insights for software teams and CTOs. Sent when there is something worth sharing, not on a schedule.
From our SaaS audits
Patterns from the technical due diligences we run for investors and boards.
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.
Cursor’s new background agents feature lets Pro users spin up cloud-based environments that clone your repo, complete small tasks in parallel, and create PRs without touching your local setup.
As AI becomes a standard part of every developer’s toolkit, tech hiring needs to evolve from policing its use to understanding how candidates apply, evaluate, and collaborate with it.
Claude can now test your frontend. With a bit of config, the Playwright MCP server lets Claude run browser tests, find bugs, and even generate reusable test code. This could be a game-changer for startups without QA.
Should engineers fear messy AI code or embrace it as a tool for fast product validation? This story reveals why your cleanest code might not be your most valuable contribution. Why founders will use AI generated code more and more for MVPs and prototyping and why engineers should embrace this.
AI tools are changing how agencies work and how they should bill. Fewer hours, faster results, and ballooning token costs are reshaping agency economics. We dive into what comes next, and why value pricing might be the way forward.
AI agents shouldn’t become CAPTCHA solvers: discover how monetisation-driven UX patterns have turned the web into a hostile environment and what honest design can do to reverse the trend.
A cautionary tale about interns, AI tools, and outsourcing delivering 80% of a project—leaving internal teams with the clean-up. Learn why shortcuts often come with hidden costs.