Integrate or Stagnate: Why CI/CD Is Essential for Software, Hardware, and More

Written by Jörgen Karlsson, Feb 4, 2025

In today’s fast-paced, ever-evolving world, speed and adaptability are not just advantages—they are survival skills. Yet, many organizations still operate under outdated assumptions: that work can be broken into rigid phases, that problems should be solved "later," and that integration is something that happens near the end. This mindset is the root cause of slow delivery, misalignment, wasted effort, and expensive last-minute fixes.

In this article, we will explore why integrating early and often is critical for any value delivered, whether in software, hardware, marketing, or even HR. We will explore why we minimize lead time and maximize quality by integrating early and often. So, let's do it!

Infinity loop of gears and hardware parts symbolizing CI/CD cycles
Infinity loop of gears and hardware parts symbolizing CI/CD cycles

Why Integrating Early and Often Matters

The Myth of the “Big Reveal”

Many organizations, across industries, still follow a waterfall-style approach where each phase—design, development, testing, and delivery—is done in large, isolated chunks. The assumption is that each phase will be executed perfectly, and everything will "come together" at the end in a grand, well-coordinated reveal.

The reality? The final integration exposes months (or even years) of misalignment, costly rework, and outright failure. By the time integration happens, fundamental issues have accumulated, dependencies are unclear, and resolving problems becomes exponentially more expensive.

In contrast, CI/CD forces continuous learning, feedback, and course correction at every step, dramatically reducing risks and ensuring incremental value delivery.

Reducing Uncertainty and Cost

  • Risk is lowest when integration is frequent. Small, frequent integrations reveal mistakes early, allowing easy fixes.
  • Cost skyrockets when issues are discovered late. The later a problem is found, the more expensive it is to fix.
  • Quality improves with constant validation. Continuous testing ensures that every increment adds real value, rather than introducing defects that go unnoticed until too late.

By integrating continuously, organizations spread out risk, avoid last-minute surprises, and maintain a constant state of readiness.

Speed Wins—Every Time

Organizations that integrate continuously move faster. They don’t get stuck in long review cycles, misaligned dependencies, or endless waiting. Instead, they ship, learn, and improve in real time.

This isn’t just for software. This applies to everything—from building airplanes to launching marketing campaigns.

CI/CD in Software Development: The Gold Standard

CI/CD transformed the software industry by introducing automation, rapid iteration, and fast feedback loops:

  • Continuous Integration – Developers merge code frequently, from daily down to hourly or even more often, triggering automated builds and tests to catch problems early. Failures are acceptable but must be fixed as fast as possible.
  • Continuous Delivery – Every validated change is automatically prepared for release, eliminating delays. Automated tests, usually in a production-like staging environment, fully validate the system end-to-end.
  • Continuous Deployment – Fully tested code is immediately deployed to production. New functionality is toggled off if needed so that it can be released on demand—when the market needs it or when the customer is ready for it.

The result?

  • Failures are caught early, preventing costly last-minute rework.
  • Teams iterate faster; Instead of quarterly or annually, teams now release in hours or minutes.
  • Customers get value faster, increasing satisfaction and business impact.
  • A/B testing becomes seamless, allowing organizations to validate different solutions from a customer perspective.

How?

Some call it DevOps or DevSecOps, but at its core, it’s about one thing: automation and reducing handovers.

Automation reduces transaction costs making it possible to reduce batch sizes

Automation reduces handover costs and transaction costs, making it possible to reduce batch sizes to extremely small increments. This, in turn, reduces lead time and increases quality. The system becomes self-reinforcing—the good wheel is spinning in the right direction.

CI/CD for Hardware: Faster Innovation, Fewer Surprises

Traditionally, hardware development has relied on long cycles, late-stage integration, and high-risk testing at the end—a process prone to huge delays and cost overruns. But leading hardware companies are now applying CI/CD principles to accelerate learning and delivery.

For hardware, the same principles apply:

Continuous Integration

In hardware development, continuous integration means continuously integrating mechanical, electrical, and software components as they are developed, rather than waiting until late in the process.

  • Frequent Prototype Integration – Instead of waiting until all components are ready, teams integrate and test subsystems continuously. Rapid prototyping with 3D printing, modular component assembly, and digital simulations allow teams to validate designs before committing to full-scale production.
  • Digital Twin and Simulation – Before building physical hardware, digital twins allow teams to test and simulate behavior in a virtual environment, reducing errors before real-world assembly.
  • Automated Testing for Hardware – Automated testing rigs can validate component compatibility, stress test materials, and even assess manufacturing precision, ensuring defects are caught early.
  • Version Control for Hardware – Just like software teams use Git, hardware development can leverage PLM (Product Lifecycle Management) tools to track incremental design changes, enabling traceability and preventing costly integration failures.

Continuous Delivery

Hardware can be prepared for continuous delivery by designing systems with modular, swappable components and ensuring that firmware and software updates are seamlessly integrated into the hardware lifecycle.

  • Modular Hardware Design – Instead of waiting for an entire product to be completed, teams build modular systems that can evolve piece by piece, reducing risks and enabling faster iterations.
  • Embedded Software Updates – Firmware and software-defined functionality allow manufacturers to improve devices long after they leave the factory, reducing dependency on fixed hardware configurations.
  • Manufacturing as a Service – Advances in on-demand manufacturing and automated production lines allow for smaller, more frequent batch releases, reducing inventory costs and making hardware iteration cycles shorter.

Continuous Deployment

Hardware deployment is more constrained than software, but companies are adopting over-the-air updates, component upgrades, and AI-driven predictive maintenance to extend hardware life cycles and enable post-release evolution.

  • Over-the-Air (OTA) Updates – Cars, IoT devices, and industrial machines now receive regular firmware updates, improving performance and adding new functionality without requiring physical recalls or replacements.
  • Field-Upgradeable Components – Designing hardware with upgradeable parts ensures that performance improvements, security patches, or new features can be deployed post-production.
  • Predictive Maintenance – IoT-enabled sensors continuously collect performance data, allowing manufacturers to deploy preventative fixes and software patches before failures occur, reducing downtime and maintenance costs.

Can Hardware Evolve After Release?

Unlike software, hardware is constrained by its physical nature. However, modern technology enables post-release evolution through:

  1. Modular and Upgradeable Design

    • Build hardware with interchangeable components that can be replaced or upgraded without redesigning the whole system.
    • Example: Tesla updates battery and sensor modules without redesigning the entire car.
  2. Firmware and Software-Defined Functionality

    • Decouple hardware capabilities from software by using firmware and cloud updates to improve functionality post-release.
    • Example: Smart home devices (like Nest Thermostats) receive feature updates without requiring new hardware.
    • Example: A well-known car manufacturer faced a catastrophic failure during a test (undanmanöver). Even though the root cause was hardware-related, they managed to fix it via a software update.
  3. Over-the-Air (OTA) Updates

    • Wireless updates allow manufacturers to fix bugs, enhance performance, and add new features remotely.
    • Example: Tesla’s autopilot and performance tuning updates post-purchase.
  4. 3D Printing and Rapid Manufacturing

    • Manufacturers can produce customized replacement parts on demand, reducing waste and extending product lifecycles.
  5. IoT & Data-Driven Hardware Evolution

    • Connected devices collect real-world usage data to inform future upgrades.
    • Example: Industrial equipment that auto-adjusts based on real-time wear and tear data.

Avoiding Tooling: The Key to Faster Iteration and Lower Costs

One of the biggest obstacles in hardware development is the reliance on traditional tooling and fixture-based manufacturing, which locks designs into rigid forms, making iteration slow and costly.

To enable faster integration and delivery, companies must minimize or completely avoid the need for custom tooling using modern techniques:

  • 3D Printing Instead of Molding – Traditional injection molding requires expensive tooling that is costly to change. Additive manufacturing (3D printing) allows rapid, tool-free iterations.
  • Flexible and Software-Defined Hardware – Replacing fixed logic boards with FPGA (Field-Programmable Gate Arrays) enables hardware to be reprogrammed post-production, adapting functionality dynamically.
  • On-Demand and Low-Volume Manufacturing – Cloud-based, decentralized manufacturing networks allow teams to order components without committing to large production runs.
  • Fixture-Free Assembly – Robotic and AI-assisted assembly lines can adapt to variations in product designs, eliminating the need for dedicated fixtures for every new version.
  • Parametric Design – Instead of designing hardware as a fixed entity, teams use parametric models that can be adjusted on the fly to create new variations without requiring complete redesigns.

By eliminating rigid tooling, leveraging software-defined capabilities, and embracing rapid iterations, hardware teams can reduce risk, shorten cycles, and continuously evolve—just like software

But What if We Do Not Create Software or Hardware, Like Marketing?

Even marketing, or actually any kind of value we produce, benefits from the three principles of Continuous Integration, Continuous Delivery, and Continuous Deployment. The key is to think in terms of reducing lead time, maximizing learning, and continuously adapting. And the primary tool is automation. Below follows two examples.

A CI/CD Approach to Marketing

Traditional marketing operates much like old-school product development: a big reveal after months of planning, followed by a massive launch. This approach is inherently flawed because it assumes that initial assumptions were correct. In reality, the market is constantly shifting, and customer behaviors evolve unpredictably.

Instead, marketing can adopt continuous integration:

  • Frequent Content Releases – Instead of waiting for a full-scale campaign, teams test messaging, ads, and creative concepts continuously. Small campaigns can be launched, measured, and refined before scaling.
  • A/B Testing as Standard Practice – Just like automated tests in software, marketing can use A/B testing to compare headlines, visuals, or audience segments, adjusting in real time based on performance.
  • Automated and Data-Driven Adjustments – Tools like dynamic ad platforms enable real-time bidding and optimization based on user engagement, ensuring that marketing dollars are spent effectively.
  • Rolling Content Deployment – Instead of planning content months ahead, successful teams operate in continuous publishing cycles, releasing small updates, tracking engagement, and refining based on actual customer responses.

The result? Marketing that is data-driven, adaptive, and continuously improving—delivering value faster and with fewer wasted efforts.

A CI/CD Approach to HR

HR departments often struggle with long, bureaucratic processes, waiting too long before adjusting policies, hiring practices, or employee engagement strategies. But HR, too, can embrace continuous integration and delivery to create a more responsive organization.

  • Continuous Hiring Pipelines – Instead of waiting for positions to open and running reactive hiring campaigns, HR can build always-on recruitment pipelines where candidates are continuously assessed and nurtured, reducing the time to fill roles.
  • Frequent Feedback and Iteration – Rather than running annual employee engagement surveys, teams can use pulse surveys and real-time feedback loops to adjust policies on the fly.
  • Agile Performance Management – Traditional performance reviews happen once a year, often missing key moments of employee growth. A CI/CD approach means frequent check-ins, real-time coaching, and dynamic goal adjustments to keep employees aligned and engaged.
  • Test-Driven HR Policies – Instead of rolling out sweeping policy changes, HR can test new initiatives in small, controlled groups, measure impact, and refine before scaling organization-wide.

How CI/CD Aligns with Agile and Lean Principles

Agile and CI/CD: A Perfect Match

CI/CD is deeply rooted in Agile principles, particularly:

  • Frequent iterations – Small, continuous changes rather than big, risky releases.
  • Customer feedback loops – Deploy updates quickly and adjust based on real-world use.
  • Cross-functional collaboration – Developers, testers, and operations working as one team.

The Agile Manifesto emphasizes responding to change over following a plan and delivering working solutions frequently. CI/CD is a direct enabler of these principles, ensuring that teams do not wait for a "big release" but continuously learn, improve, and deliver value.

CI/CD as a Lean Practice

CI/CD embodies Lean principles by:

  • Reducing waste – No more rework caused by late-stage failures.
  • Focusing on flow – Smooth, continuous delivery instead of batch processing.
  • Building quality in – Automated testing ensures high quality at every step.

Lean thinking revolves around shortening lead times, minimizing handoffs, and eliminating unnecessary work. CI/CD removes bottlenecks and ensures that every change, whether in software, hardware, or business processes, is immediately tested and validated before it becomes a bigger problem.

CI/CD isn't just a technical practice—it’s a mindset that aligns perfectly with Agile and Lean thinking. And if you don’t like Agile or don’t like Lean, just talk about CI/CD.

CI/CD is Not Just for Tech—It’s About Delivering Value Faster

Whether in software, hardware, marketing, HR, or any other field, the core principles of frequent integration, fast feedback, and continuous iteration lead to faster learning, higher quality, and better results. The future belongs to those who integrate fast—not those who wait for perfection.

Conclusion: Integrate Often or Be Left Behind

No matter what you deliver—software, hardware, marketing, or business strategy—integrating often is the key to reducing risk, accelerating learning, and maximizing value.

  • The era of waiting for the “big reveal” is over.
  • Success comes from continuous learning and rapid adaptation.
  • If you’re not integrating continuously, you’re already falling behind.

The question is not "Should we do CI/CD?". You are already integrating. Now, make it faster. Make it smaller. Make it continuous.


Last updated Feb 4, 2025