Importance of Planning Before Software Development

"The most important single aspect of software development is to be clear about what you are trying to build." — Bjarne Stroustrup This has always been true, but AI has made it even more critical. Here's why: AI lets us build incredibly fast, and that's both a superpower and a trap. If we're unclear about what we're solving, AI will happily help us build the wrong thing at 10x speed. If we're unclear about what we're solving, AI can actively contribute to scope creep and maintenance burden. The solution? Pause before you build. Ask yourself: - What problem am I actually solving? - How will this solution help the user? - What's the simplest version that solves the core problem? - What can I leave out? With clarity, AI becomes a force multiplier. It helps you iterate quickly, test ideas, and ship solutions that matter. Without clarity, you're just producing garbage faster. So before you ask your AI coding agent to build, take the time to understand the problem. The better your clarity, the better your solution.

💻 Software Engineering 101: Learning Through Memes Today's Lesson: Project Planning Or Why You Don't Set the Wedding Date Before the First Date This meme nails it. "I've set the wedding date. I've not asked her out yet." That's how too many software projects start. A deadline gets picked before anyone understands the problem. Good project management works the other way around. 📋 Before You Set a Date, Do This • Define the actual problem you're solving • Talk to the people who'll use it • Break the work into pieces small enough to estimate • Then commit to a timeline 🚀 Why This Order Matters • Fewer surprises mid-sprint • Realistic expectations with stakeholders • Less crunch, less burnout • Higher quality output ⚠️ What Goes Wrong When You Skip It 1️⃣ Scope Creep: Nobody agreed on what "done" actually means, so it keeps growing. 2️⃣ Low-Morale Marches: The team sprints toward an arbitrary date with no slack. 3️⃣ Trust Erosion: Miss enough deadlines and nobody believes the next one. The key isn't avoiding deadlines. It's earning the right to set them by doing the unglamorous work of scoping first. Requirements before roadmaps. Always. How do you respond when someone asks "When will it ship?"

Planning as a distinct step in the process should be the default way of operating for agentic engineering. AI-native engineering without explicit planning steps is just child’s play.. There is no way you are providing enough context to the execution phase without it. At its core, planning is about a structured process to provide the right context to agents for autonomous work, at any granularity. As a Claude Code user, I'm in plan mode constantly, whether I'm building a large feature or doing a small refactor. There's a common misconception that plans are only useful for complex, long-running tasks. For short changes, people tend to just prompt and run. That works until it doesn't. You lose visibility into intent, and you only discover misunderstandings after the code has already been written. Once you internalize plan mode, coding without it starts to feel risky, even reckless. What is a plan? In this context, I have a fairly strict technical definition: a sequence of tokens that defines a task an agent could plausibly and autonomously execute successfully to completion. The workflow that works for me: 1. I talk to it or type it out, depending on the task. For cases where I suspect there'll be back-and-forth and the agent will need substantial context, I'll have a longer conversation first. For smaller plans, I just type it out quick. Either way, I'm getting all the context, constraints, and half-formed thoughts into tokens. 2. The agent turns that into a structured plan it can actually execute on. Concrete steps, clear dependencies, assumptions made visible. 3. I confirm before execution. This is the critical step. I see exactly what it's going to do, make adjustments if something's off, and only then let it run. My own toolchain (which I look forward to sharing soon) saves the plan to a GitHub issue, utilizing that as a system of record for plans. It then executes in its own isolated git worktree. I can move on to the next thing while it cooks. I cannot express how important this process has been for my own effectiveness as an engineer using these tools. It is the way you “shift left” in an agentic engineer. It's much easier to debug intent than to debug emergent behavior after the code has already been written. So start using plan mode or intentional planning steps. It’s transformative to the way you use these tools.

The Process of Custom Software Development (Everyone skips the most vital step.) Not the coding part. Not the testing stage. Not even the launch moment. The skipped step comes earlier. Long before any code appears. I learned this building custom tools. Many projects failed before starting. → 1. Deep discovery first — Sit with users patiently. — Hear real pains fully. — Understand their everyday struggles. —This builds real clarity. → 2. Shape the blueprint — Sketch simple flows. — Pick the right stack. — Map needs with care. → 3. Build in small cycles — Write clean focused code. — Share progress often. — Adjust using real feedback. → 4. Test like real usage — Break things on purpose. — Check load early. — Fix issues fast. → 5. Launch with steady care — Prepare servers well. — Move data safely. — Support users calmly. → 6. Improve after launch — Patch bugs quickly. — Add features slowly. — Grow with real demand. Great software begins long before coding starts. Discovery isn’t optional magic. It’s the heartbeat of success. Skip it, Everything slips. Honor it, Everything flows. P.S. Do most teams skip discovery — yes or no?

If I could give one piece of advice to every new developer out there, it’d be this: Stop diving into code before you know where you’re swimming. Yes, learning syntax matters. Yes, clean code matters. But the real secret to writing reliable software isn’t in your editor, it’s in your planning. I’ve watched too many developers (my past self included) jump straight into building something “cool” and end up tangled in their own spaghetti. Why? Because they never stopped to plan how it should work in the first place. These days, I plan everything. I’m building a containerization tool in Rust, and before I even touch a line of code, I’m mapping the entire flow: Menu → js/rust/py → create temp dir → copy source → etc. Then I drill down. Each step gets its own sub-map, naming conventions, ignored files, internal logic, all of it. It’s like creating a “map of maps” so there’s zero guesswork later. Planning might sound boring, but you know what’s worse? Rewriting the same half-baked idea three times because you didn’t plan it right the first time. I’d say planning is easily 90% - 95% of the job I personally use LucidChart for this and it’s pretty good, another good option is draw.io if you like free and simple :D #SystemDesign #ProjectPlanning #SoftwareDesign #ArchitectureMatters #TechStrategy #RustLang #RustProgramming

Too many founders jump into product development without a clear plan. They start spending money with an “agile” approach, thinking they’ll iterate their way to success. It’s a trap. Here’s What Happens When You Skip Planning: 🚨 Endless Scope Creep – Features get added mid-build, timelines stretch, and costs explode. 🚨 Technical Debt Piles Up – Poor early decisions create long-term headaches. 🚨 Burning Cash, No Clear Roadmap – You spend money fixing what should have been defined upfront. Agile is for Execution, Not Strategy Agile is great once you know what you’re building. But if you don’t take the time to spec out core functionality, define user flows, and think through dependencies, you’ll pivot yourself into a hole. How to Avoid This Trap: ✅ Define the Core Product – What problem does it solve? What features are essential? ✅ Create a Clear Specification – Map out workflows, logic, and data structures before you write a single line of code. ✅ Validate Before You Build – Talk to customers. Pressure-test assumptions. Avoid unnecessary complexity. Building without a plan isn’t speed—it’s waste. Take the time upfront, and you’ll execute faster, smarter, and with fewer costly mistakes. #ProductDevelopment #Agile #TechStrategy #Execution #StartupLessons #BuildSmart

Building software without a strategy is like buying a Ferrari to sit in traffic. Looks good, goes nowhere. Too many companies rush into development because they feel the pressure to "move fast." They hire, they spend, they build But without a clear direction, all they’re really doing is accelerating waste and burn rate. The truth is, clarity beats speed every time. When you know exactly what problem you’re solving, why it matters, and how it connects to the bigger picture, every line of code becomes an investment rather than a gamble. The Ferrari is powerful, but if the road ahead is blocked, you’re still stuck. Strategy clears the road. Don’t just build. Plan, refine, and then scale. That’s how you actually get somewhere.

 In most GenAI projects, the actual coding often comes late. The real work starts much earlier with planning. You are not just asking what should the model do. You are figuring out, one, what the user is trying to achieve. Two, where can the model help and where should it stay out of the way? And three, what kind of outputs are acceptable, risky, or undefined. This planning phase is where you uncover edge cases, integration constraints, and evaluation goals. It's also where you align the work with product and business needs, not just the model capabilities. We've seen teams get deep into implementation before realizing they are optimizing for the wrong objectives. A few hours of structured planning upfront can save weeks of iterating later. Defining your success criteria early in the process, and being able to measure them as you develop the actual product.

At the age of 27, I was promoted to project manager, tasked with delivering a system for selling structured currency products across German bank offices. Despite my banking experience and familiarity with these products, I had never managed a software project of this scale, let alone one with such critical deadlines: delivering 21 products across 24 offices within 12 months. To make matters worse, the project had been stalled for three years with no results. Long story short, our small team of programmers delivered everything on time and within nine months. I owe a huge debt of gratitude to Steve McConnell and his "Software Project Survival Guide" – it was instrumental to our success. The book's key concepts, which I'll summarize briefly, continue to guide me even today in my role as a supervisory board member for several financial institutions. "Software Project Survival Guide" emphasizes meticulous planning and execution as the cornerstones of successful software projects. It advocates for clearly defining project scope, objectives, and deliverables from the outset, ensuring everyone understands the project's goals and user needs. The book stresses proactive risk management, urging teams to identify potential problems early and develop mitigation strategies. Thorough project planning, involving realistic scheduling, budgeting, and task breakdown, is crucial. Continuous project tracking, using metrics to monitor progress and identify deviations, enables timely corrective action. Maintaining high quality through reviews, testing, and defect tracking is essential. Open and effective communication among stakeholders, including regular status meetings and clear documentation, ensures everyone stays informed. Finally, the book highlights the importance of managing changes effectively, implementing a formal process for evaluating and approving modifications to scope, requirements, or schedules. #SundayThoughts #ProjectManagement 

The tyranny of the urgent in complex projects 😵💫 It steals hours and ruins results. Take a look at the attached image of the DFW construction site in early 1970s. Nothing but lots of empty land around it. Guess what? That land is all fully developed by 2025, and DFW is one of the busiest and yet most efficient airports in the nation. Why? That's the power of great planning for the long run. All of this land was allocated towards future construction that was executed over the course of more than 50 years. Same principles apply to software development and IT infrastructure. Here's what I see happening in most organizations: ❌ Urgency to go all in and request every possible feature for the initial launch ❌ Everyone wants everything, and they want it now ❌ Teams try to build the perfect solution from day one The reality is that this approach almost never works out well. It results in massive scope creep, budget overruns, missed timelines and expectations. I've watched teams burn through budgets x2 or even x3 of their original size, only to deliver a half-working monster that does not resemble what was promised. 𝐃𝐨 𝐭𝐡𝐢𝐬 𝐢𝐧𝐬𝐭𝐞𝐚𝐝: ✅ Create a backlog of features and business requirements, then prioritize them systematically ✅ Hire an experienced consultant or agency with proven expertise in your industry ✅ Split delivery into multiple phases based on business value, cost, and risk ✅ Review and estimate everything upfront ✅ Build incrementally This is very similar to lean agile delivery, but on a bigger scale. This approach allows you to build exactly what you need, without taking on a massive risk, significant impact on cash flow, and avoid costly rework shortly after launching a new platform. The airport planners didn't try to build everything at once. They created a foundation that could grow. Your software projects deserve the same strategic thinking. #b2b #B2BCommerce #software #SoftwareDevelopment #Planning #ProjectManagement #DigitalTransformation #SystemsIntegration #Success #BusinessStrategy #eCommerce #ITStrategy #B2BTech #Enterprise #Agile #PhasedApproach #BusinessLeadership #Technology #ProfessionalServices #Consulting #BusinessSystems