010 Coding Collective

010 Coding Collective

What are the phases of software development?

Software development runs through six phases: analysis, design, build, testing, release and maintenance. What happens in each one, and what AI changes about them.

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Six phases, one wrong order

Most software projects do not stall in the build. They stall because the analysis was rushed, nobody designed the system or nobody planned for maintenance.

Each phase answers its own question

Treat the phases as six questions every project has to answer: what are we solving, how does it fit together, does it work, is it right, is it live safely and does it keep working.

Build fast, skip nothing

With AI the build goes much faster. That is exactly why the phases around it decide whether the software is still usable a year from now.

The short answer

Software development runs through six phases: analysis, design, build, testing, release and maintenance. Together they are called the software development life cycle, or SDLC.

Each phase answers its own question. Skip one and the question comes back later, at a higher price.

The six phases

1

Analysis: what are we solving?

You decide who the software is for, which problem it solves and when it is done. The result is a short description of what the software has to do, including the hard requirements, such as privacy or connections to existing systems.

2

Design: how does it fit together?

This is where the choices you live with for years are made: how the system is structured, where the data lives, which technology you use and what the screens look like. A mistake here is hard to undo.

3

Build: writing the code

The developers build the software, usually in small pieces that can each be checked on their own. It is the most visible phase, and these days the fastest one.

4

Testing: does it do what it should?

Automated tests check that the code works and that existing features did not break. Then people check that the software does what the analysis said, and try to break it.

5

Release: safely in front of real users

The software goes to the server. Passwords stay out of the code, logins and permissions are right, and backups and monitoring are running. Whatever is missing here, you only notice when something goes wrong.

6

Maintenance: does it keep working?

Software is never finished. Security updates come in, users ask for new features and the systems around it change. Over its whole life, maintenance usually costs more than the first build.

Waterfall or agile: the same phases, a different rhythm

The phases are always there. The way of working decides how often you go through them.

With waterfall you go through them once, in order: all of the analysis, then all of the design, then all of the build. That suits a project where you know up front exactly what it has to become. In practice you rarely do.

With agile you go through every phase in short cycles of a few weeks. You build a small piece, test it, release it and learn from how people use it. The next cycle’s analysis starts with what the last one taught you. Most software teams work this way, and so do we.

What AI changes in each phase

Now that AI writes much of the code, the build is no longer the longest phase. The work shifts to the phases around it.

🔍

Analysis matters more

An AI model fills every gap in your brief on its own, often not quite the way you meant. A good description up front is now the most important piece of work in the whole project.

📐

Design stays human work

A model picks what works today. An architect picks what still works in three years. Choices about structure and data belong with a person who can account for them.

⚡

The build gets much faster

In our own work, building with AI delivers up to ten times as much as typing every line ourselves. What used to take weeks now takes days.

🚦

Testing becomes the brake you need

The faster code arrives, the more you depend on the checks that stop mistakes. A model almost always thinks its own code is fine.

🔐

Release is where it goes wrong

Security, permissions and backups are what AI skips most easily. Plenty of quickly built apps work fine until the first real users show up.

What that looks like step by step, from the first description to reviewing every change, is in how to develop software with AI.

AI made the build cheap. The phases before and after it now decide whether your software is worth anything.

Where projects get stuck in practice

Most problems we run into are not in the build. They are in a phase that got skipped.

An app built with AI in a few weeks works in the demo but never had a proper release: no backups, passwords in the code, everyone can reach all the data. That is the last 20 percent that turns out to be most of the work, covered in the last 20 percent of a vibe-coded project and getting a vibe-coded app production ready.

A system that has run for years was once built without a design. Every new feature takes longer than the last, because everything is tied to everything else. Another developer will not fix that. Someone who redraws the structure will, which is what our strategic tech consulting is for.

Frequently Asked Questions

What are the phases of software development?

Software development runs through six phases: analysis (what are we solving), design (how does it fit together), build (writing the code), testing (does it do what it should), release (safely in front of real users) and maintenance (does it keep working). Together they are called the software development life cycle, or SDLC.

What is the SDLC?

SDLC stands for software development life cycle. It is the set of phases every software project goes through, from the first analysis to the maintenance after release.

What is the difference between waterfall and agile?

With waterfall you go through the phases once, in order: all of the analysis, then all of the design, then the build. With agile you go through every phase in short cycles of a few weeks and adjust after each one based on what you learned. Agile works better for most projects, because you rarely know up front exactly what the software has to become.

Which phase of software development takes the longest?

Over the software's whole life it is maintenance: software often runs for years and needs updates and changes the whole time. Within the project itself the build used to be the biggest phase. Now that AI writes much of the code, most of the time goes into analysis, design and testing.

Can you skip phases when you build with AI?

No. AI speeds up the build, but it makes the other phases more important. Without analysis the model builds something other than you meant, without testing you find mistakes only when users do, and without a careful release your data is exposed.

Want software built without skipping phases?

We build with AI and keep the analysis, the design and the review in our own hands. You get the speed of AI and software you can still maintain a year from now.

Let's discuss your project

From AI prototypes that need to be production-ready to strategic advice, code audits, or ongoing development support. We're happy to think along about the best approach, no strings attached.

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