The Legit Baines Blog

A Tale of Two Job Specifications  👍👎 Recently I came across two job specifications for roles that were broadly related to data and information systems . On the surface they looked similar enough, both requiring analytical thinking, technical skills and the ability to support organisational objectives. However, once I started reading them closely, the difference in quality between the two documents became immediately obvious. One specification was so vague that I found myself writing comments all over it in red, while the other provided genuine insight into the role and the technologies involved. It was a perfect example of how a well-written job specification can help both employers and candidates. The first job specification described the responsibilities of a Senior Analyst role. It contained plenty of corporate language about supporting stakeholders, analysing data, promoting service improvement and contributing to organisational objectives. While none of these requirements we...

 Is It Time to Move On From VS Code? VS code VS Pycharm/ For the past few years, Visual Studio Code has been my primary development environment. Like many developers, I appreciated its flexibility, extensive plugin ecosystem, and the fact that it could be adapted to almost any programming language or workflow. However, after one of the recent updates, I found myself spending more time fighting with the IDE than actually writing code. What was once a lightweight and straightforward editor now felt increasingly cluttered and distracting.     The biggest issue for me wasn't that new features had been added. Software evolves, and that's a good thing. The problem was that VS Code seemed to be constantly trying to anticipate what I wanted to do before I'd even clicked on anything. Panels would appear, suggestions would pop up, AI features would offer advice, and various automated tools would spring into action. While some developers may find this helpful, I found it disr...

Why Giving Advice Is Easier Than Doing the Work (Especially in IoT and Embedded Systems) ☝☝☝☝ It’s something I’ve become increasingly aware of while working on technical projects: giving advice is often far easier than actually doing the work. On the surface, a suggestion can sound simple, logical, and even obvious. But once you’re the person responsible for implementing it, the reality quickly becomes more complicated. This gap between theory and practice is something every developer eventually encounters, and it’s particularly noticeable in hands-on fields like IoT and embedded systems . When someone isn’t directly involved in a project, they don’t carry the same constraints. They’re not dealing with the specific hardware limitations, firmware quirks, time pressures, or integration challenges that define the day-to-day reality of the work. As a result, their advice can be well-intentioned but disconnected from what is actually achievable. It’s easy to recommend a clean solution whe...

Why Would I be the Ideal Solutions Architect? 🤔🤔🤔🤔🤔🤔🤔🤔🤔🤔 In today’s fast-moving technology landscape, organisations need more than just technical expertise - they need strategic thinkers who can bridge the gap between business goals and technical reality. A Solutions Architect must translate complex requirements into efficient, scalable, and maintainable systems, while communicating effectively with technical teams and stakeholders alike. I believe my journey — from a mature computing student at Sheffield Hallam University to a creative problem-solver with hands-on experience in software, hardware and real-world projects - uniquely positions me for this role. A Solid Technical Foundation My journey into tech wasn’t traditional — I returned to study computing as a mature student, driven by curiosity and a passion for solving problems in elegant, efficient ways. On my GitHub profile , I describe myself as “The Man of Many Moments” — which reflects both my varied interests in...

  Test Yourself then Check Yourself Pushing myself to grow has always been at the heart of my journey through the world of IT, computing, and data analytics. These fields evolve at lightning speed, and I’ve learned that staying still is the fastest way to fall behind. Whether it’s a new programming concept, a data modeling technique, or a tool I’ve never touched before, I’m constantly seeking out ways to stretch my abilities. But with that drive comes a responsibility to recognize when I’m approaching my limits. The tech world can be intense, and curiosity can quickly turn into overload if I’m not careful. Early on, I realized that challenging myself doesn’t mean pushing to exhaustion—it means being intentional about growth, not reckless. 🙏🙏🙏 One of the biggest influences on how I manage that balance came from an extracurricular course I once took: “Connecting with Yourself on a Spiritual Level.” It might sound far removed from coding or data analytics, but the meditation te...

🧭 1. Workplace Health & Safety Assessment Purpose  👍 To identify workplace hazards, evaluate associated risks, and plan control measures to maintain a safe and healthy environment for all employees — even in a primarily office or remote data analytics setting. Step 1: Identify Hazards For a data analytics start-up, typical hazards include: Category Examples of Hazards Potential Impact Physical Environment Poor lighting, trip hazards from cables, ergonomic issues Eye strain, back/neck pain, falls Equipment & Electrical Overloaded sockets, faulty devices, overheating laptops Electrical fires, equipment damage Workstation Setup Poor chair posture, screen height Musculoskeletal disorders Psychosocial Workload stress, long screen time, isolation (remote workers) Burnout, reduced mental well-being Fire Safety Inaccessible exits, lack of fire extinguisher Injury, property damage Health & Hygiene Poor ventilation, inadequate first ai...

 Introduction When we think of great programmers, we often picture long nights of coding, complex algorithms, and coffee-fueled problem-solving. But what truly separates the most productive programmers from the rest isn’t just skill — it’s discipline. One of the most effective habits they cultivate is the practice of deliberate time blocking — a focused approach to managing work sessions and avoiding the chaos of constant context switching.  ☝ The Power of Time Blocking Time blocking involves setting aside specific chunks of time dedicated to deep, uninterrupted coding. During these blocks, programmers silence notifications, close unrelated tabs, and focus solely on the task at hand. This technique helps them enter a state of “flow” — that powerful zone where creativity, logic, and problem-solving converge effortlessly. Instead of scattering attention across multiple tasks, productive programmers give their full cognitive energy to one priority.  ☝ Protecting Focus i...