Agile Development

Agile development is an approach to managing software work through incremental delivery and repeated learning. Teams prioritize a backlog, implement a small amount of functionality, validate the result, and adjust future work using stakeholder and operational feedback. Its core values favor collaboration, working software, customer involvement, and responsiveness to change, while still recognizing the value of processes, documentation, contracts, and plans.

Agile does not remove the phases of the software development lifecycle. Planning, requirements analysis, design, implementation, testing, deployment, and maintenance still occur, but teams revisit them as the product evolves. Compared with a traditional waterfall model, which generally progresses through sequential phases, agile approaches shorten feedback cycles and allow requirements to be refined between increments. Scrum provides a framework using timeboxed sprints, while Kanban emphasizes managing flow and limiting work in progress; neither is synonymous with agile itself.

In practice, a team turns a customer need into a small backlog item with explicit acceptance criteria. For example, an application team might add an order-status endpoint before attempting a complete order-management redesign. Developers implement the endpoint, review the code, and run automated tests. Stakeholders evaluate the behavior, and production telemetry helps determine whether the change actually improves the customer experience. The next increment reflects those findings.

Cloud capabilities support this approach by making environments programmable and temporary. Infrastructure as code can create a repeatable integration environment for a change, run tests against real dependencies, and remove the environment afterward. Teams must still manage quotas, test data, secrets, access permissions, and cleanup to avoid unexpected costs or exposure. Managed services can reduce infrastructure work, but they do not replace sound application design or reliable testing.

Continuous integration and continuous delivery make small increments easier to validate and release. A pipeline can retrieve a source revision, build a versioned artifact, run unit and integration tests, perform security checks, and promote the same artifact through staging and production. Continuous delivery keeps changes releasable but can retain a manual production approval. Continuous deployment automatically deploys every change that passes the required checks. Agile requires neither automatic production deployment nor a release at the end of every iteration.

Frequent changes also require operational safeguards. Feature flags can separate deployment from customer exposure, and canary or blue/green deployments can limit the impact of defects. Monitoring should evaluate error rates, latency, and relevant business outcomes. Rollback planning must account for database migrations and compatibility: restoring an earlier application version may not reverse a destructive data change.

The main trade-offs are coordination overhead, investment in automation, and the risk of accumulating technical debt when teams optimize only for short-term output. Agile does not mean abandoning architecture, documentation, security reviews, or change control. A practical definition of done includes appropriate testing, documentation, security checks, and operational readiness. For exam scenarios, distinguish the development approach from its supporting tools: agile governs how teams learn and prioritize, CI/CD automates integration and delivery, and DevOps extends collaboration and responsibility across development and operations.