How to Conduct Effective Code Reviews

With AI in the picture, we need two new mental models for software development: 1. Creating new codebases 2. Evolving existing ones We have software engineering principles that still hold true, just like laws of physics. Take YAGNI as an example. Traditionally, we applied YAGNI by building only what we needed, when we needed it. TDD reinforces this by keeping us focused on writing the minimal code for one failing test at a time. Today, with coding agents eager to help and doing more than you want, how do we achieve YAGNI? By scoping down the problem upfront and trimming everything you don't need afterward. Pre-AI, we achieved YAGNI through RESTRAINT. Post-AI, we achieve YAGNI through SCOPING and SUBTRACTION. The principles are the guiding light, but the practices must evolve given a fundamental shift in constraints and capabilities.

It feels like nobody shares coding tips or best practices here anymore. 🤔 Yes, AI is powerful and helpful. But good engineering practices still matter: ->Writing clean, maintainable code ->Understanding design patterns ->Learning debugging skills -> Reviewing and collaborating effectively AI can assist, but it doesn’t replace the discipline and mindset of a good developer. Let’s not lose the culture of sharing knowledge, experiences, and lessons learned. Because in the end, it’s not just about writing code fast, it’s about building software that lasts. 💡 What’s one coding practice you think we should never let AI replace? #SoftwareEngineering #WebDevelopment #FrontendDevelopment #CleanCode #CodeQuality #BestPractices #CodingCommunity #AIForDevelopers #DevCommunity #TechLeadership #DevelopersLife #ProgrammingTips #BuildInPublic #100DaysOfCode

Have AI coding tools 𝙠𝙞𝙡𝙡𝙚𝙙 inside-out TDD? How do you safely use AI coding tools inside the highly regulated environment of US Federal Government? Can you get a single person to deliver an entire project? I chatted to Mike Gehard, who knows his eXtreme Programming, about how he and the folks at Rise8 are doing valuable work bringing proper lean, agile, AI-native software development to government. Links in the comments, because algorithm.

Just spent two weeks testing "vibe coding" tools - aka building apps with prompts instead of actual code. Remember when you needed to be a code wizard to build anything worth using on the web? Not anymore. These tools let you type in plain English what you want, and they spit out working apps. Some even handle security, databases, and user auth without you diving into technical weeds. I tested about 15 different platforms and found some clear winners: - Lovable: Most balanced for beginners - Bolt: Great flexibility with useful integrations - Cursor: Perfect when you need to debug or customize - v0: Shows you what's happening behind the scenes If you're a founder with a great idea but lacking technical skills, these tools could be your way in. No, they won't replace proper engineering for production-grade software, but they'll get you to a working prototype faster than you'd believe. The startup landscape is changing - you don't need to wait for a technical co-founder anymore to test if your idea has legs. Have you tried any of these tools yet? What was your experience? https://lnkd.in/eXYvrCKx

Anyone can write 500 lines of code in a day. But can you solve the right problem with 50 lines? Here’s the truth 👇 -10 hours of non-stop coding ≠ impact -1 hour of deep thinking + 10 minutes of clean code = game changer ⚡️ THE QUICK GUIDE (Why problem-solvers beat code-sprinters) It’s not about typing speed. It’s about leverage. 1-Focus on the "Why" Before the "How": -Code-Sprinter: Jumps into IDE, starts writing the first solution that comes to mind. -Problem-Solver: Asks: "What problem are we actually solving? For whom? What does 'done' look like?" This avoids building a flawless solution to the wrong problem. 2-Seek Leverage, Not Lines: -Code-Sprinter: Reinvents the wheel, builds complex logic from scratch. -Problem-Solver: Asks: "Does a library, framework, or existing API already solve 80% of this?" Their 50 lines often orchestrate powerful tools. 3-Debugging is a Design Flaw: -Code-Sprinter: Spends days chasing bugs in their 500-line maze. -Problem-Solver: Simple code has fewer failure points. Less time debugging = more time creating real value. The most elegant code is often the code you don't have to write. It’s the shift from being a coder to being an engineer. Agree? Disagree? I'd love to hear your thoughts #SoftwareEngineering #ProblemSolving #CleanCode #Programming #Tech #Developer #Coding #SoftwareDevelopment #Productivity

🚀 Say Goodbye to Time-Consuming Code Reviews! 🚀 As developers, we know how tedious code reviews can be. That’s why I’ve started using Code Rabbit, an AI-powered tool that automates and streamlines the review process. 🔍 Why I Love It: Fast: Reviews your code in minutes, saving hours of manual work. Accurate: Detects bugs, errors, and vulnerabilities faster than any manual reviewer. Consistent: Ensures every review is thorough and precise—no missed feedback. Smart: Learns from your codebase, improving its suggestions over time. Actionable Feedback: Provides clear, easy-to-implement suggestions for improving code quality. Seamless Integration: Works perfectly with your existing workflow and tools like GitHub and GitLab. Whether you're a solo developer or part of a team, Code Rabbit saves you time, boosts productivity, and ensures better code quality. It’s like having a personal code reviewer available 24/7. Highly recommend giving it a try if you want to level up your dev workflow! 💻🔥 Installation is a breeze! Simply install the Code Rabbit CLI (free), integrate it with your GitHub or GitLab repo, and start reviewing your code automatically with just a few commands. 🚀 #AI #CodeReviews #TechTools #Productivity #DevLife #SoftwareDevelopment

🧠 Every great developer learns to debug two things — code and mindset. 💡 Over time, I’ve realized the best technical minds aren’t just problem solvers — they’re pattern recognizers. 🔍 They can trace logic in systems, but also habits in themselves. 🔁 When your thinking gets stuck in loops — just like code — you step back, analyze, and rebuild. 🚀 Growth isn’t about writing new code. It’s about rewriting how you think. 💬 How do you debug your thought patterns when projects get challenging? #DeveloperMindset #DebugYourMind #TechGrowth #CodeAndMindset #MindsetMatters

Developer productivity isn’t just about creating more code, faster. It's about engineering faster and smarter with codebase context and quality. Great dev teams scale by keeping standards high, reducing tech debt, and helping junior devs contribute meaningfully to complex systems. Hear more from Nnenna Ndukwe about how codebase context and multi-agent workflows turn rapid output into maintainable, production-ready software. 👉 https://lnkd.in/eFxhPnkk

🤖 What if your Terminal could code with you — not just for you? 🖥️⚡ AI-powered Terminal coding tools are redefining the developer experience. From real-time code generation to auto-debugging and context-aware suggestions, these tools are making command-line development faster, smarter, and more efficient. Key benefits that developers are loving: ✅ AI-assisted commands: No more memorizing complex CLI syntax. 🧠 Context-aware coding: AI understands your environment, frameworks, and workflows. 🚀 Faster builds & deployments: Automate repetitive steps and focus on problem-solving. 💬 Seamless integration: Works with your existing stack — Git, Docker, Python, Node.js, and more. ✨ Whether you’re writing scripts, managing containers, or pushing code to production — AI in the terminal is becoming a game-changer for modern developers. 💡 Pro Tip: Pairing AI with a clean CLI workflow can drastically reduce cognitive load and improve dev velocity. Are you already using an AI-powered terminal tool? Share your favorite features or tools below 👇 #TerminalAI #AITools #DeveloperTools #DevOps #CommandLine #Automation #CodeFaster #FutureOfCoding #SoftwareEngineering #CodingTools #AIinDev #TechCommunity #DeveloperExperience #Productivity #IlsaInteractive

💻 From Code to Impact 🚀 As developers, we often get lost in lines of code, debugging errors, or chasing deadlines. But at the end of the day, every function we write, every API we build, every bug we fix — it’s not just “code.” 👉 It’s a small piece of impact. 👉 It’s shaping someone’s workflow. 👉 It’s making a business run smoother. 👉 It’s solving a real problem for real people. Sometimes we underestimate how valuable our work is because progress feels incremental. But remember — even a single line of code can change an entire product experience. Keep building. Keep shipping. Keep learning. The world runs on the things we silently create. 🌍 #Developers #Coding #Impact #Learning #SoftwareEngineering