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The New Technical Interview: Should Candidates Be Allowed to Use AI?
Continue Reading: The New Technical Interview: Should Candidates Be Allowed to Use AI?For years, the technical interview has operated under a fairly simple premise: give a developer a problem, take away most of their usual resources, and see whether they can solve it. No Google, no Stack Overflow, no colleague sitting beside them and, increasingly, no AI. There’s just one problem with that approach: it bears less…
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What is a talent MCP server, and why would you want one?
Continue Reading: What is a talent MCP server, and why would you want one?An MCP server for talent is a tool your AI assistant can call to search for engineers while you are already talking to it about the gap in your team. MCP stands for Model Context Protocol, an open standard that lets assistants such as Claude, Cursor, VS Code, Claude Code and Codex connect to outside…
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The candidate who doesn’t exist, and what imposter hiring fraud looks like from inside a software firm
Continue Reading: The candidate who doesn’t exist, and what imposter hiring fraud looks like from inside a software firmThere is a category of security threat that doesn’t arrive through your firewall. It arrives through your careers page, passes two rounds of interviews, and gets handed credentials on day one. Imposter candidates are not new. Engineering teams have dealt with proxy interviewees and padded CVs for years. What has changed is the scale and…
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The Return of Craftsmanship in Software Engineering
Continue Reading: The Return of Craftsmanship in Software EngineeringFor much of the past decade, software engineering has been driven by one overriding objective: ship faster. Agile methodologies, DevOps, continuous deployment and cloud-native architectures transformed how quickly organisations could deliver new features. Success was increasingly measured by deployment frequency, sprint velocity and release cadence. Speed became synonymous with innovation. But something interesting is happening. …
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Stakeholder friction – how AI can solve one of the largest challenges in Software.
Continue Reading: Stakeholder friction – how AI can solve one of the largest challenges in Software.What “good” looks like, and why it’s worth codifying Most cross-functional friction gets diagnosed as a communication problem. People aren’t talking enough, the handoffs are messy, someone needs to write better tickets. That diagnosis is comforting because it implies a process fix. It also tends to be wrong. Underneath most of the friction between commercial…
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The AI Hiring Paradox: Why Technical Skills Matter More Than Ever
Continue Reading: The AI Hiring Paradox: Why Technical Skills Matter More Than EverOne of the most common assumptions surrounding AI in software engineering is that technical expertise is becoming less important. The logic seems straightforward enough. If AI can generate code, write tests, explain frameworks, and automate portions of development work, then surely companies can rely less on highly experienced engineers and more on the tools themselves.…
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From Ticket Taker to Problem Solver: The New Career Path for Engineers
Continue Reading: From Ticket Taker to Problem Solver: The New Career Path for EngineersThere is a phrase that came up repeatedly in our conversations with engineering leaders over the past year. “We need more people who can solve problems.” At first glance, that sounds obvious. After all, solving problems has always been the purpose of engineering. But when leaders talk about problem solving today, they are describing something…
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AI & ML / AI in Software Engineering Report / Consultancy / Engineering Scaling / Strategy & PlanningThe Rise of the Product Engineer: How AI Is Changing the Engineering Role
Continue Reading: The Rise of the Product Engineer: How AI Is Changing the Engineering RoleThere 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 before it shows up anywhere else. Job descriptions are starting to read differently. The conversations we have been having with CTOs and VPs of Engineering…
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Turning a fleet company into a SaaS leader
Read Case Study: Turning a fleet company into a SaaS leaderA strategic technology partnership that helped Lightfoot, a fleet management company, redefine its business model, scale operations, and establish a foundation for long-term success. By launching a scalable SaaS platform, Lightfoot expanded into new industries, modernised operations, and transformed into a dynamic, innovative enterprise driving growth and value across multiple sectors.
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Driving employee engagement and productivity at a leading UK grocery retailer
Read Case Study: Driving employee engagement and productivity at a leading UK grocery retailerWe developed a cutting-edge gamification and rewards software for one of the UK’s largest grocery retailers, enhancing employee engagement, productivity, and performance—delivering £15 million in cost savings and a 10x ROI.
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Transforming an existing app into an award winning product
Read Case Study: Transforming an existing app into an award winning productFor this award-winning product we built fully native, bespoke applications with custom animations and effects. The driver app gamifies and incentivises the driving performance of both commercial and private drivers.
We break the myth that innovation is out of reach, together we make it happen
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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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You get access to some interesting projects.
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I’ve been given great freedom to explore new technologies and learn new skills.
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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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Agile projects were 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 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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HI’s engagement model is tangibly different. 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. 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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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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