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Implementing the Architectural Runway Competency

Business Problem 


Our architecture is defined up front, often with minimal collaboration, making it difficult to respond to emerging requirements.

Business Outcomes

  • Establish and maintain a continuously evolving architectural runway.
  • Increase the speed of new feature delivery.
  • Reduce the accumulation of technical debt.
  • Enhance system quality, reliability, and overall performance.

Why is the Implementing the Architectural Runway Competency important?

The traditional approach to building architecture often involves fixed, upfront design, with minimal collaboration between technology and business stakeholders, which  leads to several challenges:

Lack of Responsiveness: Upfront architectural decisions, made in isolation from evolving business needs and technical realities, can hinder the ability to adapt quickly to changing market demands.

Increased Rework: When early, unvalidated assumptions prove incorrect or incomplete, significant rework is required, leading to delays and increased costs.

Reduced Innovation: A rigid architectural approach can stifle experimentation and the adoption of new technologies, limiting an organization’s innovative capacity.

Misalignment: Disconnects between architectural design and development team implementation can lead to technical debt and suboptimal solutions.

Limited Learning: Without continuous feedback loops and collaborative refinement, the organization misses opportunities to learn from real-world applications and improve its architectural practices.

An Agile approach to architecture provides a technical foundation for rapid feature development that avoids the challenges described above. It blends intentional architecture with emergent design and requires continuous investment rather than a one-time effort. This approach is crucial for avoiding technical debt and maintaining development velocity.

At the heart of this approach is the Architectural Runway, which ensures just the right amount of architecture at any given time. The just-in-time approach to architecture offers the significant benefit of reduced risk and waste by avoiding “Big Design Up Front”. The architecture is built incrementally based on current, immediate needs. As teams build features, they provide feedback on how the architecture needs to adjust.

This competency provides the learning, application, and mastery needed to implement the architectural runway to address the challenges above, allowing an organization’s technology landscape to evolve in response to changing business needs.

Which roles would benefit from mastering this competency?

The competency primarily targets System Architects, Product Management, and Agile Teams as they collaborate on defining, prioritizing, and building the architectural runway. Business Owners will also benefit from understanding the value of continual investment in architecture and their role in the collaborative process for building it.


Learning about Implementing the Architectural Runway

SAFe’s architectural runway refers to the existing code, components, and technical infrastructure necessary to implement near-term features with minimal redesign and delays. It facilitates a continuous flow of value within the ARTs and Agile Teams and ensures Agile Teams can quickly respond to changing business needs. 

Balancing Intentional Architecture and Emergent Design

Intentional architecture provides top-down guidance, ensuring system cohesion and alignment with strategic goals. In contrast, emergent design arises bottom up, driven by the needs identified and implemented by Agile Teams during development. This allows teams to quickly adjust their designs to respond to user needs, real-time feedback, and changing requirements, fostering adaptability and innovation.

Architects and teams must reconcile these two approaches, ensuring the high-level technical plan remains relevant and adapts to real-world changes and lessons. The architectural runway supports a balanced approach, combining intentional architecture with the opportunity to accommodate emergent design.

Architects maintain the runway by defining and promoting enablers that create ready-to-use infrastructure and establish patterns for the teams that consume it, Figure 1. This allows teams to implement new functionality faster, proactively reduces technical debt by addressing architectural issues progressively, and enhances team productivity and morale.

diagram of the architectural runway showing enablers being implemented early to support future functionality labeled as features.
Figure 1. Architectural runway evolves in support of dynamic business needs

Read the Architectural Runway guidance article to better understand this critical SAFe practice.

Read the Enabler guidance article to better understand the backlog items that extend the architectural runway of the product or solution under development.

Taking a Set-Based Design Approach to the Architectural Runway

A set-based design approach is important when developing the architectural runway, as it fundamentally supports the SAFe principle of “Assume variability; preserve options.” Instead of prematurely committing to a single design, set-based design encourages teams to explore multiple architectural alternatives simultaneously. 

SAFe Principle #3: “Assume variability; preserve options,” describes managing variability and preserving options with set-based design.

Set-based design relates to the architectural runway in the following ways:

  • It reduces risk and waste: By validating different approaches using low-cost techniques like modelling and prototyping before committing, set-based design prevents teams from investing heavily in a single, potentially flawed, architectural path. This reduces costly and wasteful rework later in the development process.
  • It enables flexibility and adaptation: The architectural runway needs to evolve to support changing business needs and technology. Set-based design provides the methodology for exploring new technical paths and pivoting if new information, market conditions, or customer needs emerge. This ensures the runway stays relevant and responsive.
  • It informs the creation of enablers: In SAFe, exploration enablers are specifically used for discovery activities and exploring design options. Set-based design provides the framework for this exploration, allowing teams to test hypotheses and gather the validated learning needed to make informed decisions about which enablers should be prioritized and built.
  • It delays decisions until the last responsible moment (LRM): Set-based design helps teams understand that making a final design decision too early can limit future possibilities. Instead, it promotes delaying commitments until the optimal point, when enough information has been gathered to make an economically sound choice

Accelerating the Flow of Value with the Architectural Runway

A well-maintained architectural runway accelerates feature delivery by providing a ready-to-use infrastructure and established patterns, which allow teams to implement new functionality faster. It proactively reduces technical debt by progressively addressing architectural issues rather than allowing them to accumulate into critical problems that impede future development. By minimizing technical hurdles, a robust runway enhances team productivity and morale, as engineers can focus on delivering customer value instead of grappling with infrastructure problems. 

It also facilitates continuous deployment by providing the necessary automated pipelines and testing infrastructure to safely and frequently release features. Most importantly, it allows development teams to continuously deliver value without jeopardizing the system’s integrity, ensuring long-term flexibility and maintainability.

Specifically, it accelerates value and addresses problems with traditional approaches to architecture in the following three ways:

  • Flow: Streamlining the architectural design and implementation process to enable faster flow of features through the value stream. This means making architectural decisions and providing architectural guidance at the speed of development. Achieving true flow requires a Systems Thinking approach, understanding the interdependencies between different architectural components and how changes propagate across the entire system.
  • Feedback: Establishing fast and continuous feedback loops from implementation back to architecture. This includes monitoring architectural health, gathering feedback from development teams, and incorporating lessons learned into future architectural decisions.
  • Continuous Learning and Experimentation: Fostering a culture where architectural choices are treated as hypotheses to be tested, with a willingness to learn from failures and pivot when necessary. Creating an emphasis on experimentation and learning as key drivers of improvement.

These practices also create a culture of psychological safety and blamelessness by creating an environment where architects can openly discuss architectural challenges, propose alternative solutions, and learn from mistakes without fear of blame. This encourages collaboration and shared ownership of the architecture.

Applying the Implementing the Architectural Runway Competency

In a traditional approach, architecture is typically a top-down activity where architects work in isolation and hand off rigid specifications to development teams. Implementing the architectural runway, on the other hand, represents a continuous lifecycle where Product Managers and portfolio leaders invest by prioritizing and funding enabler epics and features. Agile Teams then consume the runway as they develop and deploy new business functionality, relying on the existing architectural foundation. This consumption eventually necessitates reinvestment in the runway through new enablers to prevent technical debt and support future innovation.

This section will cover three critical steps needed when implementing an architectural runway.

Step 1: Collaboratively evolve the Architectural Runway

Step 2: Ensure sufficient capacity to build the Architectural Runway

Step 3: Address the mindset shift from traditional to Agile Architecture

Step 1: Collaboratively Evolve the Architectural Runway

This section details three critical activities as shown in Figure 2 below: Planning the Architectural Runway, which involves defining enablers with clear acceptance criteria; Extending the Architectural Runway, where teams actively work to fulfill these criteria, validate assumptions, and mitigate risks; and Validating the Architectural Runway, which focuses on demonstrating architectural improvements, the knowledge gained, and adapting based on feedback. This integrated approach ensures the runway remains robust, adaptable, and a strategic asset for sustained business agility.

diagram showing  3 sections: planning, extending and validating. The planning section has the ART backlog, PI planning and the team backlog. Extending shows the iterations and the features, stories and enablers. Validating shows the system demos. The architectural runway is along the bottom spanning the entire three sections.
Figure 2. Collaboratively evolving the architectural runway

Planning the Architectural Runway: Effective planning of the architectural runway is a continuous and collaborative effort. During PI Planning and Iteration Planning, architects and development teams assess the runway’s current state. This involves not only identifying existing gaps but also proactively uncovering potential technical debt that could impede the delivery of upcoming features in the immediate or upcoming PIs. The goal is to ensure that the architectural foundation is robust enough to support future development without causing unnecessary delays or rework, recognizing that each enabler story often serves to validate assumptions or mitigate longer-term risks.

A crucial aspect of this collaboration is the joint development of the definition of done (DoD) and acceptance criteria for architectural enablers. Architects work with development teams to ensure that these criteria clearly articulate the technical goals, quality standards, and expected outcomes for each architectural improvement. Importantly, these criteria should also address the specific assumptions being validated or risks being mitigated by the enabler story, providing clear measures for success and learning. This shared understanding fosters alignment, reduces ambiguity, and empowers teams to build the runway with confidence, knowing precisely what is expected for successful implementation and integration.

Extending the Architectural Runway: The architectural runway is not a static entity; it is a dynamic and evolving foundation that requires continuous investment and attention. As development teams implement features, they consistently evaluate whether the existing runway adequately supports their current and anticipated needs. This continuous assessment is paramount for identifying when additional enabler work is required, which could range from minor refactorings to significant infrastructure upgrades. Neglecting this ongoing evaluation can lead to the accumulation of technical debt, which can significantly slow down development velocity and increase future costs.

A core principle of extending the architectural runway is the ability to continuously modify the architecture while ensuring the system remains operational. This is achieved through practices such as small changes, automated testing, and robust deployment pipelines. By breaking down architectural modifications into manageable pieces and validating them continuously, organizations can evolve their technical foundation without disrupting ongoing operations or impacting user experience.

When extending the architectural runway, teams actively work to fulfill the acceptance criteria defined for each enabler story. This process involves proving or disproving the underlying assumptions that the enabler was designed to test, or effectively mitigating the identified risks. This proactive approach to architectural evolution fosters a sustainable pace of innovation, allowing teams to deliver new features more rapidly and reliably. It also minimizes the risk of encountering architectural roadblocks that could otherwise derail projects or necessitate costly, time-consuming overhauls.

Validating the Architectural Runway: Validation is a critical and often overlooked step in ensuring that the architectural runway effectively supports and enables business objectives. During demos and reviews, teams not only showcase the completed features but also explicitly highlight the architectural improvements they have made. This practice is vital for ensuring that all stakeholders, including Product Owners, business leaders, and other interested parties, gain a clear understanding of the underlying technical foundation that enables current and future capabilities. Without this visibility, the importance and value of architectural investments can be easily underestimated.

The validation process is where the new knowledge gained from implementing enablers is most clearly demonstrated. Teams present how they fulfilled the acceptance criteria, the outcomes of their efforts to prove or disprove assumptions, and the extent to which risks have been mitigated.

By clearly articulating and demonstrating the value of architectural enhancements, organizations can foster greater alignment between technical investments and overarching business outcomes. This reinforces the understanding that a well-maintained and continuously validated architectural runway is not just a technical concern but a strategic asset that underpins long-term agility, competitive advantage, and sustained success. It encourages a culture where architectural health is seen as a shared responsibility and a key enabler of the entire value stream, directly informing backlog refinement, prioritization of new enablers, and the iterative evolution of the architectural roadmap to address identified gaps and opportunities.

Step 2: Ensure Sufficient Capacity to Build the Architectural Runway

While architects specify and prioritize the enabler work that builds the runway, the Agile Teams ultimately perform the work that builds it. Balancing business features and enablers complicates prioritizing work since different forces can pull the teams in different directions to build new user features, implement enablers, or address technical debt. To help with this, Product and Solution Management often work with Architects to apply capacity allocation and determine the total effort that will be reserved for each type of work in the coming PI (Figure 3).

diagram with two roles (content authority and design authority), a pie chart showing various capacity allocation based on features, enablers and tech debt/maintenance.
Figure 3: Capacity allocation to build the architectural runway

Capacity allocation involves dedicating a specific percentage of a PI’s capacity to architectural runway activities. It will vary between PIs based on the organization, the solution being built, and the current state of the runway when compared with other priorities. Although there is no fixed rule, 10-30% capacity allocation to enablers is typical.

Here are some considerations when determining your capacity allocation:

  • Balancing strategic priorities and near-term needs: The capacity allocation reflects the organization’s strategic priorities. In a PI focused on large, innovative new features, a greater portion of capacity might be needed for enablers to extend the runway. Conversely, a PI focused on exploiting existing features might require less.
  • Addressing architectural debt and health: Over time, Agile Teams consume the architectural runway. If the runway becomes depleted or technical debt accrues, the ART will need to allocate more capacity to build up the runway in a subsequent PI to maintain a sustainable pace of delivery.
  • Reacting to emerging needs and market shifts: If a new business need or technology innovation requires a foundational shift in the architecture, the capacity allocation for enablers might increase significantly in the upcoming PI to support that new direction.
  • Funding and investment decisions: Capacity allocation is closely tied to portfolio funding decisions. If Portfolio Leadership decides to increase investment in a strategic area requiring significant technical enablers, the capacity allocated to the runway will reflect that decision.

Step 3: Address the Mindset Shift from Traditional to Agile Architecture

The successful implementation of the architectural runway requires a change in mindset and behavior from architects, teams, and Product Managers. Below is a list of common challenges you may encounter for each of these roles and how to address them as you support them in making this mindset shift.

What System and Solution Architects should watch out for:

  • Balancing intentional and emergent design: Architects often struggle to find the right balance between defining a high-level technical vision (intentional architecture) and allowing the design to evolve incrementally as teams learn (emergent design). Over-specifying can stifle a team’s autonomy, while under-specifying can lead to inconsistent patterns and technical debt.
  • Avoiding over-engineering: There is a risk that architects might create overly complex solutions for simple problems. This can be mitigated by adhering to Lean principles like “You Aren’t Gonna Need It” (YAGNI), and building only what is required to support the next set of features.
  • Maintaining involvement without becoming a bottleneck: Architects must stay involved with the implementation to ensure the architectural vision is understood, but they must do so without becoming a bottleneck. This requires a delicate balance of providing guidance, empowering teams, and relying on strong communication and collaboration.

What Product Managers should watch out for:

  • Prioritizing enablers against business features: Product Managers are primarily focused on delivering customer-facing business value. This can make it challenging to prioritize and justify the investment in enablers, which are technical in nature. Collaboration with architects and using a prioritization method like Weighted Shortest Job First (WSJF) can help find the right balance.
  • Lack of visibility into architectural health: Without clear communication from architects and teams, Product Managers may lack visibility into the health of the architectural runway. This can lead to them pushing for more features than the current runway can sustain, causing delays and technical debt.

What Agile Teams should watch out for:

  • Technical debt accumulation: Agile Teams often face pressure to deliver features quickly. Without proper planning and leadership, this can lead to technical shortcuts that consume the runway and accumulate technical debt, making future development more difficult and expensive.
  • Managing dependencies: Teams working on different parts of the system often depend on architectural enablers. Failure to identify and manage these dependencies early can block teams and cause significant delays.
  • Skill gaps: Teams may lack the necessary skills to implement or contribute to the architectural runway effectively. This can lead to inconsistency and requires ongoing investment in training and pairing experienced architects with teams.
  • Perceived loss of autonomy: Teams might feel a loss of autonomy if they perceive the architectural runway as being dictated to them, rather than being a collaborative effort. The key is to involve teams in the architectural decisions and execution to foster a sense of ownership.

Applying Emerging AI Technologies

Beyond traditional practices, emerging technologies, particularly Generative AI and other AI techniques, offer significant opportunities to further enhance this competency by automating and augmenting various architectural processes. These technologies can:

  • Accelerate Architectural Prototyping: AI can quickly generate architectural designs, code snippets for enablers, and even deployable prototypes based on high-level requirements, drastically reducing the time spent on initial architectural exploration.
  • Identify and Prioritize Technical Debt: Advanced AI algorithms can analyze codebases and system logs to proactively identify technical debt, predict its impact, and suggest optimal refactoring strategies.
  • Enhance Predictive Analytics for Runway Needs: Machine learning models can analyze historical data from feature development, system performance, and architectural changes to predict future runway needs and potential bottlenecks, informing proactive investment in architecture.
  • Automate Architectural Governance and Compliance: AI can continuously monitor architectural artifacts and deployed systems against defined patterns and standards, automatically flagging deviations and ensuring consistency and compliance across the organization.
  • Facilitate Intelligent Architectural Spikes: AI-powered tools can guide architectural spikes by suggesting relevant research areas, analyzing existing solutions, and even simulating the outcomes of different architectural choices.
  • Improve Shared Understanding through AI-Generated Documentation: Generative AI can automatically create and update architectural documentation, diagrams, and explanations from code and system metadata. It can generate explanations for different audiences, ensuring that shared understanding is easily maintained and accessible.

In this video, Stefano Rossini guides you through exploring how architecture can support business agility.

Mastering the Implementing the Architectural Runway Competency

Mastering this competency signifies a shift from merely implementing architectural changes to proactively shaping the technical landscape for sustained competitive advantage. Furthermore, mastery extends to actively influencing organizational culture towards continuous architectural innovation, fostering a deep understanding of architectural economics, and advocating for strategic investments that maximize both short-term velocity and long-term adaptability.

At this advanced stage, individuals are not only adept at balancing intentional architecture with emergent design but also leverage predictive analytics and AI-driven insights to anticipate future technical needs and potential bottlenecks. This includes employing sophisticated modeling techniques to simulate architectural impacts, performing chaos engineering experiments to harden systems against unforeseen failures, and designing for inherent resilience and graceful degradation across complex distributed environments.

True mastery in Implementing the Architectural Runway also involves cultivating a holistic view of the entire value stream, from initial architectural hypothesis to production operation, and continuously optimizing for flow, feedback, and learning at every stage. This encompasses developing advanced capabilities in automated architectural validation through tools that can interpret and enforce architectural constraints in code repositories, integrating advanced threat modeling techniques into the continuous integration pipeline, and implementing sophisticated real-time observability platforms that provide granular insights into architectural performance and health in production.

Beyond technical prowess, a master of this competency also excels at leading cross-functional architectural COPs, driving enterprise-wide architectural governance through decentralized decision-making frameworks, and effectively communicating complex architectural trade-offs to diverse stakeholders, ensuring alignment between business strategy and technical execution.

By embracing these advanced practices and fostering a culture of continuous architectural innovation, organizations can ensure their architectural runway remains a dynamic and powerful enabler for sustained business agility and competitive advantage.

Assessment Questions for Implementing the Architectural Runway

This self-assessment provides a simple method for evaluating your progress towards the application and desired outcomes of this competency.

  1. Is early architectural collaboration consistently happening?
  2. Has new feature delivery speed increased noticeably?
  3. Is technical debt accumulating less frequently?
  4. Is system quality and reliability improving?
  5. Is the architectural runway continuously evolving?
  6. Does architectural change to adapting to business needs?
  7. Is there sufficient capacity allocated for the runway?
  8. Are architectural choices being treated as hypotheses for continuous learning and experimentation?

Take the SAFe for Architects course to learn more about the practices covered in this competency. You will also get to learn alongside others how to align technical architecture with business value to support continuous flow across teams and systems.

Nimbus Networks: Investing in the Foundation for the Future of Features

Nimbus Networks, having successfully navigated the Continuously Delivering Value Competency, found themselves at a new crossroads. Their streamlined pipelines and accelerated feature delivery, while impressive, began to expose a deeper, more foundational challenge: a fragmented architectural base. New features, though delivered quickly, often felt like additions to a house built without a consistent blueprint, leading to increased rework and a creeping technical debt.

Cirrus, the seasoned architect, recognized this as the next critical step in their journey: Implementing the Architectural Runway. He explained, “Our continuous delivery is excellent, but we’re building on shifting sands. We need a continuously evolving architectural runway – a stable, adaptable foundation that supports rapid feature development without compromising system integrity.”

The Nimbus teams, now accustomed to Agile principles, embraced this new challenge. They started with Planning the Architectural Runway, collaboratively assessing existing gaps and proactively identifying potential technical debt. Product Managers, who once struggled to prioritize technical enablers over business features, now understood the long-term value, thanks to their previous journey in Continuously Delivering Value.

Extending the Architectural Runway became a continuous process, with teams modifying architecture in small, validated increments, ensuring the system remained operational. They focused on proving assumptions and mitigating risks, turning architectural choices into hypotheses to be tested. Validating the Architectural Runway involved showcasing not just new features, but also the underlying architectural improvements, ensuring all stakeholders understood the strategic asset they were building.

The mindset shift was profound. Architects learned to balance intentional design with emergent needs, avoiding over-engineering. Product Managers gained visibility into architectural health, and Agile Teams, empowered with a clear architectural vision, tackled technical debt proactively. Nimbus Networks, by embracing the architectural runway, was not just delivering value continuously. They were now building a resilient and adaptable future, ensuring their cloud ecosystem could evolve at the speed and reliability their clients had come to expect.

Continuing your Journey through the Team and Technical Agility Discipline

This competency encompasses the software practices that consistently and reliably produce high-quality software systems and products.

This competency will cover the techniques and practices for creating and maintaining great stories and features.

Last Update: 29 September 2025