What is agentic development? A plain-English guide.

Jord Systems · Reading time ~7 minutes

If you run a business and you've been told for years that "proper software" is out of your price range, this article is for you. Something genuinely changed in software development over the last couple of years, and it changes what you can afford to build.

The short version

Agentic development means using AI agents — software that can plan, write, run and test code on its own initiative — to do the bulk of the engineering work on a project, while an experienced human directs it: deciding what to build, reviewing what comes back, and owning quality.

The distinction from "AI code assistants" matters. An assistant suggests a line of code while a developer types. An agent takes a task — "add an amendments workflow to the booking module, with tests" — goes away, works through it across dozens of files, runs the test suite, fixes what breaks, and comes back with the work done for review. That's a different category of tool, and it has a different economic effect.

Why it changes the economics

Traditional custom software is expensive for one dominant reason: skilled labour, lots of it, for a long time. A modest line-of-business system might historically need a business analyst, two or three developers, a tester and a project manager for six to twelve months. Multiply out the day rates and you understand why small firms live in spreadsheets.

Agentic development collapses most of that labour. One experienced practitioner can now direct agents that produce, in a day, what a small team used to produce in a fortnight — including the tests and the documentation that teams under deadline pressure famously skip. The specification, judgement and accountability remain human. The typing, largely, does not.

The practical consequence: categories of software that were never economic to build for a small or mid-sized business — a proper booking system, a niche industry tool, an automation of some awkward back-office process — suddenly are.

What agents are genuinely good at

• Volume. Producing large amounts of consistent, conventional code quickly.
• Testing. Writing and running test suites relentlessly, without the boredom that makes humans cut corners.
• Documentation. Keeping docs current as the code changes — the first casualty of every human project.
• Iteration. Cheap rework. Changing your mind mid-project no longer torpedoes the budget.
• Breadth. Moving between languages and frameworks — a .NET web app one week, a Flutter desktop app the next — without a hiring exercise.

What they're not good at — and why experience still decides the outcome

Here is the part vendors selling "AI will build your app" leave out. Agents are spectacularly obedient. Given a poor instruction, they will build the wrong thing with tremendous speed and confidence. Everything that has always sunk software projects — unclear requirements, misunderstood processes, missing edge cases, no acceptance criteria — still sinks them. Faster, if anything.

What an agent cannot do is know your business. It doesn't know that your reservations team re-prices bookings manually every time an airline schedule changes, or that your auditor will ask for a specific report in March, or that the "simple" discount rule has eleven exceptions accumulated over twenty years. Extracting that knowledge, structuring it, and turning it into a specification an agent can execute against — that is the job, and it's the same job business analysis has always been.

Equally, someone has to review what comes back. Agent-written code that runs is not the same as agent-written code that's right, secure, and maintainable. Governance — review, structured testing, acceptance — is what separates a production system from a demo.

What a well-run agentic project looks like

1. Discovery and specification. Understanding the process, the data, the exceptions and the goal. Unchanged from traditional delivery, and still where projects are won or lost.
2. Architecture. Choosing the shape of the system — deliberately boring, proven technology, structured so agents can work on it safely.
3. Directed build. Work broken into tasks; agents execute; the practitioner reviews continuously. Progress is visible weekly, not at a big reveal.
4. Structured testing and acceptance. Agent-generated tests plus human-designed acceptance against the original specification.
5. Delivery and handover. Hosting, documentation and a system your business actually owns.

How to judge a provider

Ask three questions. First: show me something you've shipped this way — not a demo, a product. Second: who reviews the agent's output, and what's their delivery background? Third: how do you handle testing and acceptance? If the answers are vague, the "agentic" label is decoration.

At Jord Systems, our answer to the first question is Sputnik, a tour operator booking platform, FurryPeeps, a breeding-management product, and Molehill, an SEO audit tool — all built end to end with agentic development, directed by forty years of programme delivery experience.