How pair programming transformed a company's software development

Sometimes the simplest ideas make the biggest difference! In the latest Modern Software Engineering episode (which we’re proud to sponsor), Dave Farley shares how one company transformed the way they build software - cutting lead times, reducing bugs, and shipping faster... all by embracing pair programming. 🎥 Watch here: https://lnkd.in/eunfMJkf #SoftwareEngineering #PairProgramming

In programming, breakups aren’t always bad, especially when it’s your functions doing the breaking up. At first, you might start with one big “do-everything” function; it feels efficient, maybe even elegant. But soon, you’re debugging spaghetti code, chasing variables, and realizing that what you really need… is space. Breaking a function into smaller, focused parts isn’t just cleaner code; it’s also about clarity, reusability, and scalability. Each function becomes a specialist, focusing on one thing and doing it exceptionally well. 👉 Small functions are easier to test. 👉 Easier to maintain. 👉 Easier to reuse in new contexts. So next time you find yourself in a messy relationship with a long function, don’t be afraid to call it quits. 💔 Refactor, simplify, and give your code the freedom to grow. 💡 #CleanCode #Refactoring #SoftwareEngineering #ProgrammingHumor #CodeQuality

Heard about vibe coding, tried it and found out it's harder than expected or you get solutions that "look right", but don't work? Here is my step-by-step guide on important Software engineering concepts Claude Code, setting it up and getting started. It includes plenty of notes on skipping easy to make mistakes and how to get the most out of your project without this foundation you're going to waste time that you could be using to build and ship https://lnkd.in/eyF5Byv4

The future of software isn’t “vibe coding.” It’s validated coding - where intuition meets evidence. Every component is tested, traced, and telemetry-backed. The next generation of developers won’t just build - they’ll prove their code works.

A large well known company I've been speaking to (that I cannot name) has been talking to me about how practicing pair programming has led to cutting feature lead time to less than one-third, reducing bugs, and shipping more features per release. If PP is such an issue for devs, how come such a transformation? 🤔 Video available NOW on Modern Software Engineering Watch HERE ➡️ https://lnkd.in/eNRr7r5U

Assign a task to 100 humans, I bet each implementation differs. The more you probe, the more unpredictable it gets. Try it yourself. So what's the fuss about LLMs being nondeterministic ? They learned from humans, who disagree on everything, including coding and software engineering.

🧑💻 We debug errors all day — but we often forget to fix the lack of appreciation in our teams. In software development, appreciation is often overlooked — yet it’s one of the strongest motivators. A simple “Nice solution!” or “That was a clever fix” can make someone feel seen and valued. It’s not about big gestures — it’s about recognizing the effort behind every commit, review, and late-night debug. Small words of appreciation can build stronger teams, better morale, and a culture where people genuinely want to grow. Let’s make appreciation part of our everyday coding culture. 👏 #DeveloperLife #SoftwareEngineering #TeamCulture #WorkAppreciation #CodingCommunity #GrowthMindset #EngineeringExcellence #PeopleFirst #PositiveWorkCulture

I’ve found that truly understanding how things work under the hood pays off in every part of engineering. Writing code is often the easy part, it’s everything around it (deployment, architecture, infrastructure, debugging, tooling) that ends up being far more demanding. But once you understand the whole system, you become a much stronger developer. One habit that has helped me a lot is digging into the source code of the libraries and frameworks I use every day. You start to see patterns not just in solutions, but in thought processes. You notice which ideas have been tested, refined, and accepted by the community over time. Different authors have different styles, and you naturally pick up bits from all of them. Over time you start to realize there’s a kind of hidden “golden path” a quiet wisdom shared across good codebases. Once you see it, you can’t unsee it. It makes you better not just at coding, but at understanding why the code works, how to design it well, and how to debug anything you touch.

Finding Simplicity in Complexity: Lessons from "The Rules of Programming" Learn key principles from "The Rules of Programming" to improve software development, team productivity, and code maintainability. Discover how simplicity, consistency, and shared understanding lead to better outcomes.