I started a side project a few months ago, and I’ve been living the nightmare of poor planning. I jumped straight into coding without fully defining requirements, and now I’m constantly going back to rewrite large chunks because I missed something. It’s been a huge time sink.
I’ve hit pause on development and gone back to the drawing board. I’m spending time now studying the Software Development Life Cycle (SDLC) to understand how to approach this properly. It’s amazing how much time I could have saved if I had just planned ahead.
What I’ve Learned So Far
There are different SDLC models depending on project size and complexity. For a solo project that might take months, a lightweight approach like Agile or even a simplified Waterfall could help. The key is to define clear requirements upfront, but also allow for iterative feedback.
If you’re working alone with limited experience, planning might seem like a waste of time, but it’s the exact opposite. Every hour spent on requirements and design saves many hours of rework later.
Modern Tools for Planning
Today, we have plenty of tools to help with planning: Jira, Trello, Asana, or even just GitHub Projects. They make it easy to break down tasks, track progress, and adapt as you go. For my project, I started using a kanban board to visualize the workflow.
How Do You Handle SDLC?
I’m curious how others here approach planning. Do you follow a strict methodology, or are you more casual? Has SDLC ever saved you from a major rewrite?
For those starting out, I highly recommend reading up on the basics before diving into code. It might feel like extra work, but it pays off.
Topic Summary: A developer shares how poor planning led to constant rewrites and how studying SDLC models saved their side project. The discussion explores modern planning tools, Agile vs waterfall, and the importance of aligning requirements with iterative development.
Featured GitHub Resource:
- obra/superpowers - An agentic skills framework & software development methodology that works. (★ 259607)
Topic Overview (Wikipedia):
SDLC may refer to:Software development life cycle, describes the life cycle of developing a software system
System design life cycle, an uncommon term related to systems development life cycle
Systems development life cycle, describes the life cycle of developing a computer-based system
Synchronous Data Link Control, an IBM communications protocol
— Read more on Wikipedia
YouTube Video:
You’ve hit on a universal truth in software development: planning is not a phase to be rushed through but a continuous investment that pays exponential returns. The fact that you paused to study SDLC models shows a mature shift in mindset—one that many professional developers reach only after a few painful rewrites.
The Evolution of Planning in Modern SDLC
Traditional waterfall planning emphasized exhaustive upfront requirements, but modern approaches have refined this. Agile methodologies like Scrum and Kanban promote iterative planning where high-level epics are broken into smaller, time-boxed sprints. This doesn’t eliminate planning; it distributes it throughout the lifecycle. For solo projects, a lightweight hybrid often works best: define core requirements and architecture upfront (a mini-waterfall for the big picture), then iterate in sprints.
Continuous planning is another trend: using tools that integrate with version control (e.g., GitHub Issues, GitLab Boards) to link code changes directly to tasks. This creates a traceable chain from requirement to deployment, reducing the chance of overlooked features.
The Unseen Costs of Underplanning
What many newcomers underestimate is not just the rework cost but the technical debt accumulated from rushed decisions. Poorly planned code often leads to tightly coupled modules, making future changes fragile. Modern planning techniques like domain-driven design and architecture decision records (ADRs) help mitigate this by forcing explicit design decisions early.
Balancing Planning and Agility
A common pitfall is overplanning—spending weeks on design documents that become obsolete. The key is just-enough planning: enough to know the next steps and avoid major backtracking, but flexible enough to pivot. For a solo side project, this might mean:
- A one-page requirements outline (user stories)
- A rough system architecture diagram (not UML-level detail)
- A prioritized backlog on a Kanban board
Contemporary Trends in Project Planning
Looking at the broader industry, we see planning tools evolving rapidly. AI-assisted planning—where tools like Jira or Linear use machine learning to estimate task durations or flag dependencies—is emerging. Remote-first teams have made asynchronous planning (using shared documents, Loom videos, and structured issue templates) a necessity. Even no-code platforms are influencing planning: they force a clear definition of requirements before you drag and drop components.
The most successful projects I’ve observed treat planning as an ongoing conversation rather than a one-time document. It’s about aligning your understanding of what needs to be built with your actual capabilities and constraints. Your SDLC journey is a powerful reminder that code is cheap, but clarity is priceless.
Featured GitHub Resource:
Topic Overview (Wikipedia):
YouTube Video:
