AI in Software Engineering Report
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The Rise of the Product Engineer: How AI Is Changing the Engineering Role
There is a shift happening… There is a shift happening in how engineering leaders describe the people they want on their teams, and it is showing up in the language…
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AI Adoption Beyond Engineering: Why Most Companies Aren’t Ready
For years, AI adoption sat firmly within engineering teams. That’s no longer the case. Today, AI expectations are being embedded across the organisation, from operations to finance to marketing, often…
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LLM Readiness in Software Engineering: Why Data Infrastructure Matters
AI adoption in software engineering is accelerating rapidly. But while many organisations are investing in AI tools, far fewer are prepared for what comes next: scaling AI effectively. The difference…
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AI Adoption in Software Engineering: Trends, Investment & Strategy Gaps
AI in Software Engineering: From Experimentation to Expectation AI in software engineering has moved rapidly from experimentation to expectation. Across the industry, engineering teams are adopting AI tools at an…
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AI Engineering Strategy: How to Future-Proof Your Delivery Model
As AI adoption accelerates across software engineering, CTOs and engineering leaders face a genuine strategic challenge: how do you embrace the opportunities AI creates without disrupting the systems, processes and…
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Does AI in Software Engineering Really Live Up to the Hype?
Insights from the report: AI in Software Engineering – Making Sense of the Noise AI has quickly become a staple of modern software teams. From code completion tools to automated…
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AI, Talent, and the Changing Shape of Engineering Teams
Insights from the report: AI in Software Engineering – Making Sense of the Noise, by HI Technology & Innovation. AI isn’t just changing how software is written, it’s reshaping how…
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The Three Emerging Archetypes of AI Adoption in Engineering Teams
As AI rapidly reshapes software engineering, leaders are under increasing pressure to decide how their teams should adopt new tools, and how fast. But beneath the noise and urgency, not…
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Three Golden Rules and the Tech Debt Paradox: Early Insights from HI Innovation & Technology’s AI in Software Engineering Report
After a turbulent two years, European road transport is showing signs of recovery in 2025. But with sluggish economic growth, geopolitical instability, and mounting pressure to cut costs and emissions,…
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I’ve been given great freedom to explore new technologies and learn new skills.
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The team at HI enabled Lightfoot to rapidly scale development with minimal support from internal dev resources. They led well-controlled stakeholder engagement to capture product requirements, applying extensive technical experience to shape the solutions, whilst maintaining consideration of other business criteria such as budget. Agile projects were then run by the HI project and development teams, with stakeholder reviews along the way. A secondary benefit was working with them to improve internal development and DevOps workflows.
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HI’s engagement model is tangibly different. The ethos, expertise and commitment of the HI team meant this really felt like a relationship, not just a supplier arrangement.
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You get access to some interesting projects.
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I can safely say it’s been the best working environment I’ve ever experienced! Everyone is really friendly and supportive, there really is a great team spirit.
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HI led well-controlled stakeholder engagement to capture product requirements, applying extensive technical experience to shape the solutions, whilst maintaining consideration of other business criteria.
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We were impressed by how proactive their team was at all levels with high velocity, easy reviews and an ability to avoid issues before they happened.
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The team at HI enabled Lightfoot to rapidly scale development with minimal support from internal dev resources.
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