Insights
Practical thinking on business systems, automation and software built around the way organisations actually work.
AI agents are good at filling in gaps quietly, which is exactly the problem. Here's why business automation needs to be built to ask rather than assume, with real examples.
Read articleWhen you inherit software with no documentation and no developer to ask, the temptation is to rewrite it fast. Here's a safer way to work out what it actually does first.
AI coding agents don't carry memory of past decisions between sessions the way a human developer does. That gap shows up as inconsistency in your codebase, and it matters more than most people realise.
A patched vulnerability was exploited within hours on a government site. That gap between 'patch released' and 'patch applied' is where most bespoke software gets caught out, and it's worth knowing who owns that gap in yours.
MCP servers let AI agents talk to your business systems directly. Here's a plain-language look at what that means, and the questions worth asking before you connect one to anything that matters.
The training opt-out toggle in your AI tool's settings is only part of the picture. Here's what business owners should actually check before feeding customer data into AI.
Technical debt used to come from cutting corners under time pressure. Now that AI makes code almost free to produce, it builds up for a different reason entirely: volume.
Most briefs I'm sent are either a one-line email or a bloated spec copied from a template. Here's what actually needs to be in one to get an accurate quote.
Bespoke software quotes in the UK range from a few thousand pounds to well over six figures. Here's what actually drives that number, with real ranges by project type.
Lovable and hiring a developer aren't really competing for the same job. Here's how to work out which one fits what you're actually trying to build.
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