Technical Planning Before Coding: Avoid Expensive Mistakes

Is your code throwing new bugs every time you run it? 🤯 In software engineering, writing code is easy, but maintaining it is the real challenge. Many think more features mean better software, but the true beauty lies in 'Clean Code' and 'Scalable Architecture'. Stop wasting time on spaghetti code and start focusing on refactoring; you will see how much easier your development life becomes. 💻✨ How strong is your team's code review process? Or do you just push to production in a rush? Let us know in the comments! 👇

Confusing code 𝐬𝐥𝐨𝐰𝐬 𝐭𝐞𝐚𝐦𝐬, 𝐝𝐞𝐥𝐚𝐲𝐬 𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬, and 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐬 𝐫𝐢𝐬𝐤. Clean, readable code makes every update easier and every developer more productive. 𝐒𝐰𝐢𝐩𝐞 𝐭𝐨 𝐬𝐞𝐞 𝐰𝐡𝐲 𝐜𝐥𝐚𝐫𝐢𝐭𝐲 𝐦𝐚𝐭𝐭𝐞𝐫𝐬. 🚀

Gorman explains so well why I am uncomfortable with "spec-driven development." It's yet another case of mistaking the artifact of a process as the value that process creates. Good specs are the output of thinking through a problem and coming to a consensus with stakeholders and implementers. The real value is that thought and consensus, not the document. AI-written specs are the artifact without the value. Also, specs should always be provisional. Agile-ists do them a little bit at a time because we always learn more as we go. The thinking and consensus-making should never stop. Doing all the specs, up front, isn't a bad because it's hard or time consuming. It's bad because it makes it difficult to respond to the things you learn as you execute. Having the AI write the specs speeds things up, but it also _makes the output worse_ -- unless you're doing it a little bit at a time, the agile way.

There's a whole bunch of things dev teams misunderstand about software specification, but by far the 2 most damaging are that specification is first and foremost a conversation, and that specifications are actually just - at best - educated guesses about what's really required. I hear devs say things like "I get Claude to write my specifications", and to me that's kind of missing the whole point. Is the value in the plan or in the planning? Is the value in those .feature files, or in the stakeholder conversations where they were created and refined? And it should go without saying that the map is not the terrain. Whatever we *guessed* would solve a problem needs to be tested in the real world to see if it actually does, and we shouldn't make guesses on top of those guesses until we have. Otherwise we're just piling speculation on top of speculation. So specification is first and foremost a conversation between stakeholders where we explore ideas and build shared understanding, and it's an ongoing conversation in which reality gets the deciding vote. _________________________________________________________ If you want to learn how specification can build shared understanding and drive design & development in a highly iterative, feedback-driven development process, there's just time to book one of the 2 remaining spaces on my final Code Craft course happening July 7-9. Details in profile.

This Claude Code workflow cleaned up my changes fast. I started treating Claude like a senior dev pair. I used to let Claude Code make a few edits, then review everything at the end. The code looked fine at first, but small mistakes stacked up quietly. What changed was making the loop brutally tight. One change. Typecheck. One focused test. Then continue. Here are the Claude Code tricks I wish I used earlier: ☑ Put repo rules in CLAUDE.md before touching code ☑ Ask Claude Code for one change at a time ☑ Run typecheck after every edit, not every task ☑ Run one focused test before expanding the scope ☑ Use isolated test environments Claude can execute safely ☑ Let Claude write tests for your framework first ☑ Save progress, then continue only after green feedback The output got cleaner the moment the feedback loop got shorter. I made a free workflow guide. Comment "CLEAN" and I'll DM it. Is your team checking Claude Code changes after every edit, or only at the end? 1 or 2. #ClaudeCode #ClaudeAI #SoftwareEngineering #EngineeringManagement

Great software doesn’t just work — it evolves. Ever found yourself stuck in a codebase so messy, even Stack Overflow feels like a maze? Yeah, same here. The deeper I went into software development, the more I realized this: writing functional code is easy. Writing code that survives time, teams, and tomorrow’s unknown features? That’s a different beast. That’s where design principles come in. They aren’t academic fluff. They’re the battle-tested rules you come back to after every project that went sideways. So, let’s unpack 10 essential software design principles that have helped me — and thousands of devs — write smarter, cleaner, and more maintainable code.

No-code doesn’t fail at scale because it’s no-code. It fails when the application design doesn’t scale with the business. We often hear that no-code is only good for simple use cases, but in enterprise environments the bigger issue is usually poor planning around design, processes, permissions, documentation, and enablement. Check out our slideshow for 10 practical best practices that make the difference between a prototype and a solution that keeps working as complexity grows. What is the biggest scaling mistake you see in no-code projects today?

How to improve a codebase without rewriting everything: Start by accepting one truth: Most codebases don’t need a rewrite first. They need direction. A rewrite often feels attractive because the current system looks messy, slow, and difficult to change. But many rewrites fail because teams underestimate how much business logic is hidden inside “bad code.” The better approach is usually smaller and more disciplined. Pick one painful area. Add tests around the current behavior, even if the behavior is not perfect yet. Refactor only what you need to touch. Improve naming. Extract the messy logic. Remove duplication. Document the strange parts. Then ship. Do this repeatedly, and the codebase starts getting better without stopping the business. This is how mature teams improve systems. They don’t wait for the perfect time to “rebuild everything.” They create safety around the existing system, then improve it piece by piece. A good codebase is not always the one that was rewritten from scratch. Sometimes, it is the one that was patiently improved by developers who understood both the product and the business. That is the real engineering work.

Most engineers don't struggle with coding. They struggle with this. -> Explaining system design decisions clearly. -> Communicating trade-offs to stakeholders. -> Translating technical complexity into business impact. I've seen strong engineers stay unnoticed... Not because of weak coding. But because their impact wasn't visible. Example: While working on a client on a client system, instead of saying: "I optimized a service" I said: "I reduced API latency by 40%, which improved user response time and reduced drop-offs." Same work. Different perception. Small shift. Massive visibility. -> Your code speaks to systems -> Your communication speaks to growth What's harder right now? 1. Technical complexity 2. Communicating impact Comment 1 or 2

Developers Are Stuck at Logic Building? You finished the course. You know a concept. You understand the concepts. You sit down to build something real and... stuck. Where do you start? How do you structure it? How do you debug when things go wrong? This isn't a knowledge gap. It's an application gap. Courses teach syntax. Real development teaches decision-making, architecture, debugging, and shipping. You can memorize APIs but can't design a system. You can follow tutorials but can't problem-solve independently. What bridges this gap? Real constraints. Real problems. Real feedback loops. Not simulated projects. Actual challenges that force you to think, decide, and iterate. You don't learn to build by watching tutorials. You learn by building. Then getting feedback. Then iterating. Then doing it again. That's it. That's the path. The difference between knowing a concept and being a developer? Thousands of hours building real things. #developer #roadmap #concept #application