How AI Accelerates Custom Software Development
How MG Software uses AI tools to deliver projects faster and at higher quality, and what this means for businesses investing in custom software.
Sidney12 Jan 2026 · 8 min read
Introduction
Artificial intelligence is transforming every industry, and software development is no exception. At MG Software, we have embraced AI as a core part of our development workflow.
But what does this actually mean for you as a business owner looking for a development partner? In this article, we explain how we use AI, what it does well, and where human expertise remains irreplaceable.
AI as a Development Partner, Not a Replacement
AI does not replace developers. It makes good developers faster and more accurate. Think of it like power tools for a carpenter.
We use AI tools like Cursor and GitHub Copilot alongside our development process. See our detailed Cursor vs GitHub Copilot comparison to understand the differences. Projects that used to take six weeks can often be delivered in four.
Where AI Truly Shines
AI excels at repetitive, well-defined tasks. Creating database schemas, writing API endpoints, building form validations, setting up authentication flows.
It also shines in code review. Our AI tools analyze every piece of code for security vulnerabilities, performance issues, and best practice violations. For structured project planning, our system design template and PRD template help teams document decisions efficiently.
Where Human Expertise Remains Essential
AI cannot understand your business. It does not know why you need a specific workflow, what your customers expect, or how your team operates.
Architecture decisions, user experience design, business logic, and strategic technology choices all require human judgment. For an overview of the tools that help bridge the gap, see our roundup of the best AI coding assistants.
Real Numbers: Before and After AI in Our Projects
We track hours on every project, so we can put real figures next to the claims. A client portal with login, document sharing and status updates took us around 350 development hours in 2023. A comparable portal we delivered in the spring of 2026 came in at 210 hours. An integration between a CRM and an accounting package, historically around 40 hours of work, now averages 25, because AI writes the boilerplate for authentication, pagination and error handling while we focus on the mapping logic. Admin panels and internal dashboards, the classic time sinks of custom software, take roughly half of what they used to.
The gains are not evenly distributed, and it is worth being honest about that. Discovery workshops, stakeholder interviews and UX decisions take exactly as long as they did five years ago, because the bottleneck there is human alignment, not typing speed. Our rule of thumb after two years of measuring: expect 30 to 40 percent less time on the build phase and virtually no change in the analysis and design phase. Across a full project that averages out to lead times that are about a quarter shorter. If you are planning a project, our page on having a web application built explains how we structure those phases.
Agentic Coding in Mid-2026: Where the Field Stands
The biggest shift since the first wave of AI coding tools is the move from autocomplete to agents. In 2024, AI suggested the next line of code. In mid-2026, we hand an agent a well-scoped ticket and it delivers a working branch, including tests, that a senior developer reviews before anything is merged. For routine work such as form flows, report exports or adding a field through the entire stack, the first version an agent produces is acceptable in roughly seven out of ten cases. The remaining three are exactly why you still want experienced developers: the agent writes code that compiles and passes tests but quietly misreads a business rule.
That review step is where quality is decided. Every line an agent writes at MG Software passes through a developer who knows your domain, your data and your edge cases. The combination is what makes the economics interesting: agent speed with senior judgment. It also changes what a realistic budget looks like, because a feature that took a week in 2023 often fits in two or three days now. Try our project calculator for an indication; the estimates already reflect this AI-assisted way of working rather than 2022 hourly maths.
What This Means for Your Budget
Faster development means lower costs. When we can deliver a feature in two days instead of five, those savings go directly to you.
We are transparent about our use of AI. We do not charge for the time AI saves. We pass those efficiency gains on to our clients. Curious how the leading AI models compare? Read our ChatGPT vs Claude analysis.
Conclusion
AI is not the future of software development. It is the present. At MG Software, we have fully integrated AI into our workflow.
Curious how AI-powered development could work for your project? Get in touch for a free consultation.
Sidney
Co-founder
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