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CappsAI StudioGuide · Software Development · By CappsAI Technology Private Limited · Published Sep 19, 2026 · Updated Oct 9, 2026
The software development lifecycle (SDLC) is the sequence of stages a software project moves through: planning, requirements, design, development, testing, deployment and maintenance. Textbooks name between five and seven stages; the names vary, but the order doesn't. Here's what each stage actually looks like on a real project.
The stages of software development at a glance
| Common stage name | What happens | In this guide |
|---|---|---|
| Planning & requirements | Understand the workflow, users and goals | 1. Discovery |
| Design | Architecture, data model, interfaces | 2. Architecture and data model |
| Development | Build the software, module by module | 3. Build in modules |
| Testing | Automated tests and checks against real tasks | 4. Test against real tasks |
| Deployment & maintenance | Release, monitor, fix and improve | 5. Deploy, then keep iterating |
1. Discovery — mapping the real workflow
Before any design work, we document how the work actually happens today — who does what, in what order, and what breaks it. This is where a feature list gets replaced with an actual process map, the same way Edu360's admissions-to-attendance-to-fees flow was scoped.
2. Architecture and data model
Decisions made here are expensive to reverse later — especially whether the system needs to be multi-tenant from day one. Edu360's per-school isolated workspace was an architecture decision made before a single feature was built.
3. Build in modules, not one release
Each module is built to a usable, testable state before moving to the next, so a wrong assumption surfaces after the second module instead of at the end of a six-month build.
4. Test against real tasks
Automated tests catch regressions; they don't tell you whether the software fits how your team actually works. Each module also gets tested against the real tasks it's meant to replace.
5. Deploy, then keep iterating
Launch isn't the end of the lifecycle — it's where real usage data starts telling you what to build next. Software that stops changing after launch usually stops being useful within a year.
FAQ
Does every project need all five stages formally? No — a small project can move through discovery and architecture quickly. What doesn't change is the order: understand the workflow before designing the data model, and design the data model before writing feature code.
This is the process behind our custom software development service — see also our practical guide to custom software and when custom software makes more sense than SaaS. Building an AI feature? The AI software development process follows the same stages with extra work on data, evaluation and monitoring.