Author: Edvaldo Freitas

A bug report comes in involving a critical user flow. The frontend team traces the issue to an unexpected API response. The backend team insists their service is working correctly. After two days of debugging, the root cause is found in a shared authentication service that a third team updated last week, and no one…

You can feel it when part of the system is wrong. The whole team feels it. Builds are slow, tests are unstable, and every new feature in that area becomes a grind. But when you try to put time on the roadmap to fix it, the conversation stalls. Your intuition about technical health doesn’t easily…

A front-end codebase with a few dozen developers working on it starts to show familiar signs of wear. Pull requests get larger and touch more files than you would expect. Code reviews slow down because reviewers need context from three different teams to approve a simple change. The CI pipeline becomes the main bottleneck for…

When the engineering team is small, dealing with production incidents usually feels simple. A few people who know the system well jump on a call, figure out what’s wrong, and deploy a fix. The process is fast, loosely structured, and relies on the experience of whoever is there. This works for a while. But as…

As a company grows, the way engineering and product teams work together begins to wear down. What used to be quick hallway conversations and shared assumptions turn into missed deadlines and runaway scope. You start seeing features shipped without the user impact everyone expected, and the engineering team begins to feel like a feature factory,…

The first sign of trouble is usually the build queue. A few developers join the team, commit frequency goes up, and suddenly the CI/CD pipeline that used to feel fast turns into a 45-minute wait for feedback on a small change. Developers start context-switching while they wait for tests to pass or, worse, they start…

At the beginning, the idea of a monorepo is quite appealing. Having all the code in one place, centralized dependencies, and the ability to change multiple parts of the system at once simplifies a lot of things. This works well while the team is small. As the team grows, however, that simplicity starts to fade.…

When a team is small, keeping software quality under control feels intuitive. You can review every pull request, you know the history of the more “risky” parts of the codebase, and the feedback loop between writing code and seeing it running in production is short. But as the engineering team grows, all of that starts…