AI is reshaping the fabric of software engineering. However, while the first wave of adoption brought big promises, it also exposed crafts - ineffective tools, unsustainable practices, and a gap between the tech’s hype and measurable impact. At Nearform, we set out to change that trajectory and shape what comes next.
It won’t be long until every system is born AI-native. Purposeful, intelligent and engineered with progress at its core. According to a recent McKinsey survey, the majority of organisations that have embedded AI into their workflows have seen it improve innovation, with nearly half also reporting improvements in customer satisfaction and competitive differentiation.
This is a blueprint for enduring transformation. As pioneers in AI-native engineering (AINE), Nearform continues its 15-year tradition of pushing the boundaries of software development. Our teams and enterprise partners are leading this next wave of digital evolution, setting new standards in how software is conceived, built and trusted at scale.
A more intelligent way to build
AI succeeds when it’s foundational. Countless enterprises saw initial AI tooling fall short because it failed to address the core of the development lifecycle. Nearform’s approach is different from end to end - weaving AI into every stage of the software development cycle to bring precision and speed to the entire process.
Software demands more than code, it also needs intent, precision and trust behind that code. That’s where spec-driven development (SDD) comes into play.
At the core of durable AI-native systems sits a solid specification (or series of specifications). With SDD, product requirements, business logic and architectural requirements are all codified into a series of specifications, before a single line of code is written. These specs then become the core truths between human and AI, guiding agents to build, test and deploy with precision and consistency. This ensures clear, enforceable outcomes and removes ambiguity from the process entirely.
The AI-native engineering stack: engineered for performance
An AI-native engineering stack is a layered system that’s designed for enterprise scale. Each component of the stack magnifies the effect of the next, removing friction and automating processes from end-to-end:
- The spec defines the ‘what’ and the ‘why’, creating a clear blueprint.
- The AI agents interpret the spec to generate, review and test code.
- Automated enforcement guarantees that testing, security and quality standards are met.
This represents a bold step forward for ambitious enterprises, helping to unlock new sources of value from developing scalable, maintainable and safe software.
From talk to tangible results
AI-native engineering is more than just a concept, it’s a measurable improvement to the development process. By applying AI-native engineering, we focus on metrics that matter most to our enterprise clients:
- Higher acceptance rates for agent-generated code. In fact, our teams also cite higher delivery output, with 2x more functionality compared to traditional approaches.
- Faster merge times and accelerated delivery cycles. In the financial services industry, we recently delivered a new production system in less than four weeks, enabling early customer onboarding.
- Lower defect rates and more resilient systems. The early detection of conflicting requirements means a reduction in any late-stage surprises.
Our client data points to sustainable improvements of 10-15% in productivity, onboarding and prototyping - figures that aren’t only measurable, but also repeatable and compounding. In fact, well-suited greenfield projects with SDD are typically delivered 4x faster, and at the frontier, we can push to deliver 10x faster.
We’re redefining the meaning of progress for enterprise engineering, opening new horizons for what organisations can achieve. We’re visionary about what’s possible and relentless about what works, and everything we do is centred around building trust, scale and value into every layer of your business.
But wait - there's more.
Nearform publishes real-world learnings on data & AI, engineering, and digital strategy - with more merged in weekly.
Insights
Perspectives on AI in engineering, product development, and strategy, for enterprise executives.
Community
Deep dives and tutorials by engineers, for engineers.
You may also like
