The AI skills gap
In 40+ interviews, senior engineers from major banks and consultancies showed strong backgrounds but little real AI fluency. No RAG, no agent frameworks. The gap isn't about skill, it's about exposure.
In 40+ interviews, senior engineers from major banks and consultancies showed strong backgrounds but little real AI fluency. No RAG, no agent frameworks. The gap isn't about skill, it's about exposure.
The AI wave is here, and the industry is already splitting into two: those adapting fast and those falling behind. The gap is widening quickly.
AI is changing what small teams can ship, boilerplate gone, prototypes faster, experimentation cheaper. But lower costs of building don't mean lower costs of building the wrong thing. It just means you can do it faster.
Early-stage startups want full-stack unicorns who can do it all on a tight budget, but asking one dev to wear every hat is less strategic hiring and more duct-taping a rocket and hoping for the best.
Hiring to fix velocity often multiplies your problems. Reduce avoidable mistakes first: tighten decision-making, align product and engineering, and put foundations in place that make a small team dangerous in the right way.
AI is not replacing developers, but it is replacing developers who refuse to use it. The real skill lies in how well you steer, validate, and challenge the model. Fundamentals matter, but today’s best engineers treat AI as an amplifier, not a crutch.
Building diverse tech teams takes more than good intentions. From job ads and interviews to flexible work and international hiring, discover how we try to embed inclusion into every stage of the hiring process, subtly, sustainably, and deliberately.
As AI becomes a standard part of every developer’s toolkit, tech hiring needs to evolve from policing its use to understanding how candidates apply, evaluate, and collaborate with it.
Offboarding is a crucial part of security. Forgotten accounts and overlooked credentials can expose your systems to risk. This post offers real examples, a checklist approach, and clear steps to make offboarding more reliable across teams.
AI tools are transforming how we code, but they're not replacing the experience needed to build real software. Let’s talk about what vibe coding gets right—and what it gets very wrong.
Startups thrive on rapid growth, but when it comes to scaling talent, they often hit a wall. Enterprise-style feedback systems sound great—until they become a productivity sink. So how can you build structured talent development without overcomplicating things?
Senior developers bring expertise, long-term vision, and stability to complex SaaS projects, while juniors—when guided effectively—offer cost-efficiency and faster execution for well-defined tasks.
Scaling a startup is exciting—but chaotic. Teams often chase different priorities, leading to silos and lost focus. A North Star Metric can realign everyone around what matters most. Curious about how this works?
Startups often mimic corporates to impress clients or adapt to new hires, but this can stifle the agility they need to succeed. In this post, we explore how corporate habits can slow progress and why startups should prioritise speed and adaptability over rigid processes.
Should your CTO also be a co-founder? Discover how this spicy debate shapes startups' early passion and later growth, revealing the pivotal balance between emotional attachment and strategic execution. Get insights to make the right call for your company's stage and future.