Why Agile Beats Waterfall: Insights from Two Contrasting Projects

Background

In software engineering, delivering usable software is paramount; the goal is to minimize bugs while balancing iteration speed and delivery efficiency.

The author reflects on experiences with two very different projects, referred to as Project A and Project B.

Project A – a large, client‑driven initiative with strict hierarchical management, multiple suppliers, and a waterfall development approach.

After product design, development teams receive tasks, develop them in isolation, perform local testing, and then undergo a client‑led acceptance review before integration and system testing.

Testing consumes about 80% of the time, focusing on problem confirmation and root‑cause identification, leading to frequent back‑and‑forth between testers, developers, and product owners, causing delays, fragmented developer focus, and overall pain.

Project B – a business‑driven, fully agile setup where each small agile team owns a domain, and business value flows from roadmap to Epic, then to user stories, and finally to development tasks.

Key practices include:

Pair programming for collective code thinking.

Team‑wide code version discrepancy identification.

Code reviews (PR comments) before testing.

Final testing performed by the same agile team.

These steps ensure rapid feedback, shared ownership, and high quality without the heavy hand‑offs seen in Project A.

Comparison

Agile Team

Functional Team

Business decides quality

Process decides quality

Short feedback loops

Long feedback loops

Fast value delivery & verification

Slow value delivery & verification

Team‑wide decision making

Single‑role decision making

Focused work

Dispersed effort across processes

Strong team cohesion

Inter‑department distrust

Happy

Painful

The agile approach yields higher quality, faster delivery, and happier teams.

Conclusion

Large‑scale agile (SAFe) helps organizations achieve high quality and speed by aligning business value with development, shortening rework paths, and fostering collaborative decision making.

References include SAFe documentation and related articles.