Understanding Agile software development

What is Agile development?

Agile software development is an iterative and flexible approach to managing and delivering software projects. It emphasizes collaboration, adaptability, and continuous improvement throughout the development process.

The Agile methodology focuses on enhancing customer satisfaction by delivering working software in shorter, incremental cycles, known as sprints or iterations.

Today, agile development is used by software teams, product organizations and cross-functional business and technology teams. It can support work ranging from customer-facing applications and internal systems to AI-assisted development, where teams test outputs, gather feedback and adjust requirements throughout the delivery process.

A short history of Agile

Before Agile was formally defined, many software teams relied on documentation-heavy development processes that required extensive planning before implementation began. These approaches made it difficult to respond when requirements changed or teams learned something new during development.

In February 2001, 17 software practitioners met in Snowbird, Utah, to find common ground among several lightweight development approaches. Their discussions led to the publication of the Manifesto for Agile Software Development, which defined four shared values and established Agile as an alternative to heavyweight, process-driven development. The manifesto’s values were supported by 12 principles that describe how agile teams deliver value and continuously improve.

12 Agile principles

The Agile Manifesto defines four values:

• Individuals and interactions over processes and tools
• Working software over comprehensive documentation
• Customer collaboration over contract negotiation
• Responding to change over following a plan

Both sides of each value matter, but Agile places greater emphasis on individuals and interactions, working software, customer collaboration and responding to change.

The 12 principles behind the Agile Manifesto provide more specific guidance for how teams work:

1. Our highest priority is to satisfy the customer through early and continuous delivery of valuable software.
2. Welcome changing requirements, even late in development. Agile processes harness change for the customer’s competitive advantage.
3. Deliver working software frequently, from a couple of weeks to a couple of months, with a preference for the shorter timescale.
4. Business people and developers must work together daily throughout the project.
5. Build projects around motivated individuals. Give them the environment and support they need, and trust them to get the job done.
6. The most efficient and effective method of conveying information to and within a development team is face-to-face conversation.
7. Working software is the primary measure of progress.
8. Agile processes promote sustainable development. The sponsors, developers and users should be able to maintain a constant pace indefinitely.
9. Continuous attention to technical excellence and good design enhances agility.
10. Simplicity, the art of maximizing the amount of work not done, is essential.
11. The best architectures, requirements and designs emerge from self-organizing teams.
12. At regular intervals, the team reflects on how to become more effective, then tunes and adjusts its behavior accordingly.

When to use Agile software development

Agile software development is generally a strong fit when:

• Requirements are expected to change as the team learns.
• Users and stakeholders can provide feedback throughout development.
• A product can deliver value through smaller, incremental releases.
• The work involves uncertainty, experimentation or complex problem-solving.
• Cross-functional team members can collaborate frequently.
• Speed of learning is as important as adherence to the original plan.

A waterfall approach may be more appropriate when requirements are stable, work must follow a fixed sequence or changes would be unusually expensive. Examples can include certain packaged software implementations, infrastructure projects with strict dependencies and projects governed by fixed contractual or approval requirements.

The right choice depends on the project rather than a general preference for one approach. Some organizations also combine agile and waterfall practices when different parts of a program have different delivery constraints.

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Agile development vs. Waterfall

Traditional waterfall development defines requirements and completes work through sequential phases. Teams typically finish planning before design, design before development and development before testing.

Agile software development defines and refines requirements closer to implementation. Teams deliver smaller increments, review the results and use what they learn to shape the next cycle.

Verdict: Agile is generally better for work that benefits from learning and adaptation, while waterfall is better when scope, dependencies and acceptance criteria can be defined reliably in advance.

Example: Building a customer self-service portal

Consider two teams building a customer self-service portal.

The waterfall team documents the complete portal, approves the design and builds every feature before releasing it. If customer research later shows that users need a different account-recovery process, changing it may require the team to revisit completed requirements, designs and development work.

The agile team begins with the highest-priority customer tasks, such as signing in, viewing an account and submitting a request. It releases or demonstrates those capabilities, collects feedback and adjusts the backlog before building the next increment. The final scope may differ from the original plan, but the team can incorporate what it learns before investing in every proposed feature.

The Agile development process

Agile does not prescribe one universal development process. The exact activities depend on the methodology or framework a team uses, but most agile development processes follow a recurring cycle.

1. Align on the product goal

The team defines the user or business problem, the intended outcome and the boundaries of the work. The goal provides direction without attempting to specify every requirement in advance.

2. Create and prioritize the backlog

The team translates the goal into features, user stories, technical work and other backlog items. Product and business stakeholders prioritize the work according to value, risk, dependencies and available evidence.

3. Plan the iteration

The team selects a manageable set of work for the next iteration. It clarifies requirements, defines acceptance criteria and agrees on an achievable iteration goal.

4. Design, build and test

Developers, designers, testers and other contributors work together to produce a usable increment. Testing and quality reviews occur throughout development rather than being deferred until the end of the project.

5. Review the working increment

The team demonstrates or releases the completed work and gathers feedback from users and stakeholders. The review focuses on what was delivered, what the team learned and whether priorities should change.

6. Reflect and adapt

The team evaluates its process, collaboration and results. It identifies practical improvements and applies them to the next iteration before the cycle begins again.

Benefits of Agile software development

Agile software development helps teams reduce the time between an idea, a working increment and meaningful feedback. Its benefits depend on disciplined execution rather than ceremonies alone.

• Faster feedback: Smaller releases allow users and stakeholders to evaluate working software earlier, reducing the time spent developing features based only on assumptions.
• Greater adaptability: Teams can reprioritize work when customer needs, business goals or technical constraints change.
• Closer business and technology alignment: Frequent collaboration keeps development decisions connected to product and organizational goals.
• Earlier risk and quality checks: Continuous testing and review help teams identify usability, technical and delivery issues before they spread across a larger release.
• More focused investment: Incremental planning lets teams fund and evaluate smaller units of value instead of committing the full budget to an untested scope.

Digital.ai’s 18th State of Agile survey found that 74% of respondents said their agile teams regularly incorporate business feedback, while 67% said their organizations use data to drive continuous improvement. The report also found that 68% said at least half of their applications were delivered on time and with high quality, although many respondents continued to report broader quality and measurement challenges.

Challenges and limitations of Agile

Agile offers flexibility, but it doesn’t eliminate the need for planning, governance or technical discipline.

• Less predictable scope and cost: Requirements can evolve throughout development, making the final scope, budget or delivery date harder to predict.
• Risk of scope creep: Teams may continually add or reprioritize work without making clear tradeoffs or protecting the product goal.
• Dependence on stakeholder participation: Agile teams need timely input from users, product owners and business stakeholders. Delayed decisions can weaken the feedback cycle.
• Potential team fatigue: A continuous delivery cadence can contribute to burnout when every sprint is treated as an urgent deadline or teams ignore the Agile principle of sustainable development.
• Weaker fit for fixed-scope work: Projects with rigid requirements, sequential physical dependencies or limited opportunities for incremental delivery may not benefit from a fully agile approach.

Teams can reduce these limitations by defining clear decision rights, maintaining a prioritized backlog, setting realistic capacity limits and measuring outcomes rather than activity alone. A hybrid approach may be appropriate when some parts of a project require adaptability and others require fixed controls.

Agile software development methodology

Agile is first a set of values and principles, not a single methodology. An agile methodology translates those principles into a defined approach for organizing and delivering work. A framework provides a more specific structure of roles, events, artifacts or practices that teams can adopt and adapt.

The terms methodology, method and framework are often used interchangeably, but they do not mean exactly the same thing. Scrum, for example, is formally defined as a framework. Extreme Programming is generally described as a software development methodology, while Kanban is a method for managing and improving flow.

No single approach guarantees agility. Teams need to understand the purpose behind the practices they adopt and adapt them to the product, organization and customer context without abandoning the core Agile values.

What is an Agile framework?

An Agile framework is a structured way to apply agile values and principles. Frameworks give teams repeatable practices for planning work, collaborating, delivering increments and improving performance.

Different frameworks solve different operating problems. Some create a timeboxed cadence, some optimize continuous flow and others focus on technical engineering practices.

Scrum

Scrum organizes work into fixed-length sprints and defines events, artifacts and three core accountabilities:

• Product Owner: Maximizes product value and manages the Product Backlog.
• Scrum Master: Helps the team apply Scrum effectively and remove barriers to improvement.
• Developers: Create a usable product increment during each sprint.

Scrum is a good fit for stable, cross-functional teams working on complex products that benefit from regular goals and review cycles. It may be less suitable for interrupt-driven work or teams that cannot protect a sprint commitment without significant adaptation.

Kanban

Kanban helps teams visualize work, limit work in progress and improve the flow of items through a system. A Kanban board typically represents each work item as a card moving through defined stages.

Kanban is a strong fit for continuous-flow work with changing priorities, such as maintenance, support or operational delivery. It may provide too little built-in structure for teams that need prescribed roles, timeboxed planning or a regular sprint cadence.

Scrumban

Scrumban combines elements of Scrum and Kanban. A team might retain Scrum roles and planning practices while using work-in-progress limits and flow metrics to improve how backlog items move through development.

Scrumban can help established Scrum teams address bottlenecks, uneven workloads or frequent unplanned work. It is less appropriate when an organization requires strict adherence to standard Scrum or has not yet established basic delivery discipline.

Lean Agile

Lean Agile applies principles from lean product development to reduce waste, improve learning and optimize the delivery system as a whole. Common principles include eliminating unnecessary work, delaying irreversible decisions until enough information is available and empowering teams closest to the work.

Lean practices can benefit teams at any level of Agile maturity, from those establishing foundational ways of working to more experienced teams improving value flow across a process or organization. They are less effective when treated only as a cost-cutting exercise rather than an approach to improving customer value, quality and sustainable delivery.

Extreme Programming

Extreme Programming (XP) is a software development methodology that emphasizes short development cycles and disciplined engineering practices. Its values include communication, simplicity, feedback, courage and respect.

XP practices can strengthen technical quality through activities such as continuous integration, frequent releases and close collaboration. XP is a good fit for software teams that can maintain rigorous engineering practices, but it does not by itself provide a complete model for portfolio governance or coordinating large numbers of teams.

Scaling Agile across enterprise

Agile practices become more difficult to coordinate as the number of teams, products, dependencies and governance requirements grows. Enterprise scaling requires enough structure to align strategy, funding and delivery without replacing team autonomy with unnecessary process.

SAFe

The Scaled Agile Framework, or SAFe, provides detailed guidance for coordinating agile teams, programs, portfolios and enterprise strategy. It can fit large organizations that need formal planning cadences and clear coordination across many teams, but its additional roles and processes may create too much overhead for smaller or less complex environments.

LeSS

Large-Scale Scrum, or LeSS, extends Scrum to multiple teams working on one product. It emphasizes a shared Product Backlog, one Product Owner and one integrated product increment. LeSS can fit product organizations willing to simplify their structures around a common product, but it may not address every portfolio or governance requirement in a highly distributed enterprise.

Nexus

Nexus builds on Scrum to help multiple teams manage dependencies and deliver one integrated product increment. It is particularly relevant when several Scrum teams contribute to the same product and integration is the main scaling challenge. It is not intended to serve as a complete enterprise portfolio operating model.

Scrum@Scale

Scrum@Scale connects networks of Scrum teams through coordinated roles and events. Its modular structure can suit organizations that want to scale Scrum without adopting one highly prescriptive enterprise framework. Teams need a sound understanding of Scrum before they can scale it effectively.

How to choose the right Agile approach

The right agile approach depends on the type of work, team maturity and level of coordination required. Teams should evaluate:

• How stable or uncertain the requirements are
• Whether work arrives continuously or can be planned in iterations
• How frequently users and stakeholders can provide feedback
• The number of teams contributing to the same product
• Technical and organizational dependencies
• Compliance, audit and approval requirements
• The team’s experience with agile and engineering practices

Organizations do not have to commit permanently to one framework. Digital.ai’s 18th State of Agile survey found that 48% of respondents used a blended or hybrid delivery model, reflecting a broader move toward adapting practices to organizational needs rather than following one framework rigidly.

Whatever approach a team chooses, it should measure whether that approach improves delivery outcomes. Useful measures can include customer value, product quality, lead time, reliability, predictability and the team’s ability to respond to change. If the practices are not improving those outcomes, the team should inspect and adapt them.

How is AI changing Agile software development?

AI is changing how agile teams plan, build, test and review software. AI-assisted development tools can generate initial code or application logic, summarize requirements, draft documentation and propose tests, allowing teams to move through some backlog items and feedback cycles more quickly.

AI agents can also perform bounded delivery tasks across a workflow, such as analyzing a backlog, identifying dependencies, preparing documentation or helping review test results. These systems still require clear permissions, reliable context and human oversight, particularly when their outputs affect production software or business decisions.

AI and agile development naturally complement each other in several ways. Short iterations give teams frequent opportunities to evaluate AI-generated output. Continuous testing can identify errors earlier, while retrospectives and reviews help teams decide where AI is improving delivery and where additional controls are needed.

The 18th State of Agile Report found that 77% of respondents using AI applied it to save time or reduce manual effort, while 41% used it to accelerate planning or development tasks. The same research found that adoption was moving faster than governance, reinforcing the need for review standards, traceability and clear accountability.

Building high-performing Agile teams

High-performing agile teams combine technical capability with trust, collaboration and a willingness to adapt. Team members need to communicate openly, work across functions, respond constructively to feedback and take shared responsibility for outcomes.

Tuckman’s Stages of Group Development describes how teams commonly progress through four stages: Forming, when members establish relationships and expectations; Storming, when differences and friction emerge; Norming, when the team develops shared ways of working; and Performing, when it can collaborate effectively with less supervision.

Agile leaders can support that progression by:

• Establishing clear product goals and decision rights
• Giving teams enough autonomy to determine how work is completed
• Creating a safe environment for surfacing risks and mistakes
• Building regular reflection and improvement into the delivery process
• Including business, user and technical perspectives
• Protecting a sustainable pace
• Keeping processes as simple as the work allows

Framework knowledge alone does not create a high-performing team. The central requirement is the ability to inspect results, learn from them and adapt the team’s practices while staying focused on customer and business value.

Agile at OutSystems

OutSystems supports agile delivery by reducing the amount of repetitive development and delivery work teams must complete during each iteration. Visual, model-driven development, reusable components and integrated DevOps and lifecycle management help teams move from requirements to working software while maintaining shared technical and governance standards.

Teams can develop and test smaller increments, demonstrate working applications to stakeholders and incorporate feedback without rebuilding the underlying delivery process for every release. Built-in security, governance, monitoring and deployment capabilities also help organizations apply consistent controls as agile practices expand across teams.

AI-assisted application generation through OutSystems Mentor can accelerate early development and iteration. As OutSystems evolves as an agentic systems platform, OutSystems Agent Workbench extends that model to the development and orchestration of agents, applications and workflows with governance embedded across development, testing and production.

These capabilities do not replace agile practices or team judgment. They give teams a unified technical foundation for iterating more quickly while maintaining visibility, control and enterprise standards.