Software engineering for US businesses, out of Melbourne, Australia.

For companies that want to leverage AI but do not know where to start.

Live as well, on the same hours. Practical work on what AI tools are actually good at and where they fail quietly, using your own tasks. Recorded if it helps, but the value is in the questions people ask when they are stuck, and those need somebody awake to answer them.

• A plain-English grounding for everyone involved
• A shortlist of use cases worth trying in your business
• Working prompts and workflows for real tasks
• Ground rules for data, confidentiality, and review

Senior technical leadership part-time: strategy, architecture, hiring.

The hardest of these to do across the Pacific, because it runs on conversation rather than on deliverables. It needs real overlap, scheduled early in our morning or late in our evening, and if there is not enough of it to be worth having we would rather say so than take the retainer anyway.

• A technical strategy tied to the business plan
• Architecture decisions written down and justified
• Hiring: role definition, screening, technical interviews
• A regular, honest view of delivery risk

Test an idea in days with a working prototype, before committing to a build.

Built overnight, reviewed in your morning. You look at something real at the start of each day rather than waiting a week for a demo, which is exactly what an overnight cycle is good for. Aimed at the assumption most likely to be wrong, and discarded without ceremony when it is.

• A working prototype real people can try, not a slide deck
• The riskiest assumption tested first
• An honest read on whether the idea is worth building
• A prototype that is thrown away on purpose, or a clear path to production

Turn fuzzy ideas into clear, buildable specs before code.

Runs on interviews, so those get scheduled rather than hoped for: your afternoon, our early morning. The writing up happens while you sleep. You get a specification with acceptance criteria, which is worth more at this distance than at any other, because ambiguity here costs a day rather than an hour.

• Stakeholder interviews and a written brief
• User flows and clear acceptance criteria
• API and data contracts where relevant
• A scope that can be estimated and challenged

Custom applications engineered in Python and Go, prototype to production.

Suits the overnight cycle well once the shape of the thing has been agreed. Python or Go, built in increments that land while your office is closed, along with the API integrations that usually arrive with them. What makes it work is a specification clear enough that nobody is blocked at three in the morning.

• A working application, not a demo
• Clean, documented, testable code you own
• Deployment and monitoring set up from day one
• A handover you can actually pick up

Modern sites shipped fast with AI-accelerated workflows.

Almost no live hours needed. A fast, accessible site with AI on the drafting and real review on everything else, shipped in weeks. Content, hosting, forms and analytics handed over so your team can publish without waiting for Australia to wake up. Our marketing partners can help with getting it noticed.

• A fast, accessible, responsive site
• Content you can edit without calling us
• Analytics and forms wired up
• Hosting and deployment sorted

A Saleor and Hugo storefront you own outright, with nobody taking a cut of every sale.

Saleor self-hosted with a Hugo storefront, hosted wherever your data is required to live, which is often the actual reason for doing this. The build suits the overnight cycle; the catalogue, tax and pricing decisions need scheduled calls. Our hosting partners can keep it running and our marketing partners can help with the launch. No platform percentage, and no plan tier deciding what the store may do.

• Saleor running on infrastructure you control, not a tenant on someone else's
• A Hugo storefront that serves as static files and does not fall over on your biggest day
• Catalogue, customers and orders in a database you can query, export and back up yourself
• Payments, tax, shipping and fulfilment wired to the providers you already use

Security insight and processes automated across every system you run, not only the delivery pipeline.

Close to ideal for this arrangement. Dependency and secret scanning, hardened builds, patching and access reviews belong in a pipeline rather than in somebody's morning routine. Well-defined work that needs almost no live hours, and the compliance evidence your customers ask for accumulates on its own. The same goes for drawing insight out of your SaaS, cloud and identity data, which runs perfectly well while you sleep. For a formal assessment, our cybersecurity partners can step in.

• Security data from your SaaS apps, cloud accounts and identity provider pulled together in one place
• The few findings worth acting on, rather than a dashboard of everything
• On- and offboarding automated, so access starts on day one and ends on the last
• Dependency, secret and container scanning and hardened builds in your pipeline

Hands-on upskilling across the modern web stack.

Has to happen live, which means your morning and our evening. Hands-on days on TypeScript, React, testing, accessibility and deployment, run against your own codebase. We would rather block those sessions out honestly than pretend this one works asynchronously.

• Sessions built around your codebase
• Exercises you keep afterwards
• Written notes and reference material
• Follow-up time for questions once it lands

When the AI-built prototype breaks in production, we stabilise it, refactor it, and make it maintainable.

The case that ignores the time difference entirely. When something is falling over in production we keep whatever hours the problem needs until it stops. Stabilise, then an honest read on what is worth keeping, then the tests and structure that stop the next outage being a surprise.

• The immediate failures diagnosed and fixed
• A blunt assessment of what to keep and what to rewrite
• Tests, structure, and dependency hygiene
• A codebase you can change without fear

Malware removed, the way in closed, and the site hardened so it does not happen twice.

Distance helps here. A compromised site is usually discovered in your morning, and the cleanup then runs through our working day while your office is shut. Malware and backdoors out, the entry point found and closed, then hardening, backups and monitoring so it does not recur. If the site needs a better host afterwards, our hosting partners can provide one.

• The site cleaned and serving what it is supposed to serve
• The entry point found and closed, not just the symptoms removed
• Backdoors, injected pages and rogue accounts cleared out
• Updates, backups and monitoring set up so it does not recur