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newsletter.",{"config":418},{"formId":419,"formName":349,"hideRequiredLabel":113},1077,"content:shared:en-us:the-source:newsletter.yml","shared/en-us/the-source/newsletter.yml","shared/en-us/the-source/newsletter",{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"config":424,"seo":425,"content":426,"type":21,"slug":22,"_id":23,"_type":24,"title":11,"_source":25,"_file":26,"_stem":27,"_extension":28},{"layout":9},{"title":11},[427,431],{"type":14,"componentName":14,"componentContent":428},{"name":11,"headshot":429},{"altText":11,"config":430},{"src":18},{"componentName":20,"type":20},{"amanda-rueda":433,"andre-michael-braun":11,"andrew-haschka":434,"ayoub-fandi":435,"bob-stevens":436,"brian-wald":437,"bryan-ross":438,"chandler-gibbons":439,"dave-steer":440,"ddesanto":441,"derek-debellis":442,"emilio-salvador":443,"erika-feldman":444,"george-kichukov":445,"gitlab":446,"grant-hickman":447,"haim-snir":448,"iganbaruch":449,"jason-morgan":450,"jessie-young":451,"jlongo":452,"joel-krooswyk":453,"josh-lemos":454,"julie-griffin":455,"kristina-weis":456,"lee-faus":457,"nathen-harvey":458,"ncregan":459,"rob-smith":460,"rschulman":461,"sabrina-farmer":462,"sandra-gittlen":463,"sharon-gaudin":464,"stephen-walters":465,"taylor-mccaslin":466},"Amanda Rueda","Andrew Haschka","Ayoub Fandi","Bob Stevens","Brian Wald","Bryan Ross","Chandler Gibbons","Dave Steer","David DeSanto","Derek DeBellis","Emilio Salvador","Erika Feldman","George Kichukov","GitLab","Grant Hickman","Haim Snir","Itzik Gan Baruch","Jason Morgan","Jessie Young","Joseph Longo","Joel Krooswyk","Josh Lemos","Julie Griffin","Kristina Weis","Lee Faus","Nathen Harvey","Niall Cregan","Rob Smith","Robin Schulman","Sabrina Farmer","Sandra Gittlen","Sharon Gaudin","Stephen Walters","Taylor McCaslin",{"ai":397,"platform":405,"security":401},[469],{"_path":470,"_dir":471,"_draft":6,"_partial":6,"_locale":7,"config":472,"seo":475,"content":479,"type":506,"slug":507,"category":471,"_id":508,"_type":24,"title":476,"_source":25,"_file":509,"_stem":510,"_extension":28,"date":480,"description":477,"timeToRead":481,"heroImage":478,"keyTakeaways":482,"articleBody":486,"faq":487},"/en-us/the-source/platform/why-now-is-the-time-for-industrialized-software-development","platform",{"layout":9,"template":473,"author":22,"featured":6,"sourceCTA":474,"isHighlighted":6,"authorName":11},"TheSourceArticle","source-lp-how-to-build-a-resilient-software-development-practice",{"title":476,"description":477,"ogImage":478},"Why now is the time for industrialized software development","Software needs to change: See how DevSecOps and AI are turning software creation from individual craft to organized manufacturing for better results.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463896/lkrvwaxgdy02shdda2uy.png",{"title":476,"date":480,"description":477,"timeToRead":481,"heroImage":478,"keyTakeaways":482,"articleBody":486,"faq":487},"2025-05-13","5 min read",[483,484,485],"While software has changed many industries, software creation itself is in many ways old-fashioned, with developers using a variety of different tools. This causes problems that cost companies billions and shows why we need standard methods.","Using DevSecOps and AI to industrialize software won’t replace developers. Instead, it will organize how software is made, making the process more productive — just like the Industrial Revolution did for making physical products.","Companies that adopt industrial software practices — using standard tools, simpler processes, and tracking all components — will get ahead. Those that don’t change may become outdated within ten years.","Recently, I received a letter from my car's manufacturer alerting me to a recall. They had discovered a defect caused by one of the parts they used and wanted to replace it.\n\nIt was easily fixed, and I might have forgotten all about it. But it’s precisely the banality of that recall that got me thinking about my field, which is software. Car manufacturers know exactly what they put into their cars and can notify every affected customer if they discover a problem.\n\nThis level of precision in manufacturing raises a key question for software: Why can it be challenging to trace and notify customers about issues within software components, regardless of their origin?\n\nTo understand the difference between software production and manufacturing, consider the lessons of the Industrial Revolution. In the late 1800s, factories with power tools and repeatable processes replaced the work of individual craftspeople. In the early 20th century, this revolution proceeded with the creation of the assembly line, the birth of industrial process engineering, and the systematic elimination of inefficiencies. Along with that came the ability to document and audit every step in the process.\n\nThen, in the late 20th and early 21st centuries, a [third revolution](https://www.insightpartners.com/ideas/the-next-industrial-revolution-how-software-is-shaping-the-future-of-production/) transformed businesses worldwide. Computers, particularly the code running on them, became one of the most significant factors affecting the production and distribution of goods. Software “ate the world,” to use [Marc Andreessen's words](https://a16z.com/why-software-is-eating-the-world/).\n\nJust compare the first [Vorwerk mixer](https://www.facebook.com/thermomixusa/photos/tbt-to-1961-when-the-vkm5-debuted-here-in-a-beautiful-vintage-advertisement-this/1912837678932485/?_rdr) from 1961, which had a single control dial, with the equivalent model today, which has a Wi-Fi connection, allows you to download recipes from the Internet, and can coach you through making those recipes.\n\nThe fact is, the vast majority of product innovations today come from software. Software rules how all products, not just digital ones, get distributed and purchased. Code is now at least as important as capital, labor, land, and knowledge - the classic production factors. It’s no exaggeration to say that modern industry would simply stop without software.\n\n## The software paradox\nDespite all the transformative changes that software has brought about in the last 50 years, the creation of software itself is still primarily done in pre-industrial ways by individual craftspeople [working with a wide variety of tools](https://about.gitlab.com/the-source/ai/devops-leaders-fix-this-productivity-blocker-before-adding-ai/).\n\nDevelopers, like craftspeople, have varying skill levels. The software “production line” is a tangled web of dependencies, resulting in brittleness and inefficiency. And the tools? Imagine Lego bricks, each with a unique and incompatible stud configuration. That’s the chaotic landscape we’re working in, creating unbelievable stress, costs, and confusion.\n\nThis environment fuels delays. A single bottleneck, like a developer’s absence or a team’s slow testing, can halt an entire project. Consider a major German bank’s digital transformation from 2016 to 2019. Its legacy systems required extensive security testing cycles of 3-4 months for each update, while competitors released updates every few days. This disparity in development speed cost the bank significant market share in digital banking.\n\nThese delays compound existing inefficiencies. For instance, according to [GitLab’s 2024 Global DevSecOps Report](https://about.gitlab.com/developer-survey/), 63% of developers report using six or more different tools, highlighting a widespread desire for toolchain consolidation.\n\nThe financial consequences of these inefficiencies are substantial. For example, a major car manufacturer shipped a new model before its software was completely ready. While early buyers received discounts, the company ultimately spent billions on a recall to upgrade the vehicles after the software was finalized.\n\n## It’s time to industrialize software production\nFortunately, the advent of artificial intelligence and DevSecOps (a combined approach to developing, securing, and operating software assets) is revolutionizing software production. This revolution won’t replace software developers, but it will [systematize software creation and make it far more productive and efficient](https://about.gitlab.com/the-source/ai/reducing-software-development-complexity-with-ai/), just as the Industrial Revolution did with the creation of physical goods.\n\nIn the same way manufacturers have standardized the tools, techniques, and workflows they use to create products, we now need to use DevSecOps to standardize the tools, techniques, and workflows we use to develop software.\n\nMany processes invented and optimized over a century of industry apply to modern, industrialized software development needs. Applying these principles will help us identify and remove inefficiencies, create streamlined processes, reduce dependencies, and boost developer productivity.\n\nIt will also give software creators greater end-to-end visibility into their product’s components, enhancing security for the entire software supply chain. Just as every manufacturer today has an audit trail for the parts that go into their product, tomorrow’s software developers can account for every component of their software products.\n\nWe can adapt lessons from predecessors' efforts to optimize industrial production to the new era of industrialized software development.\n\n> [Learn how software logistics enables operations teams to efficiently support developers and accelerate delivery](https://about.gitlab.com/the-source/platform/why-software-logistics-is-key-to-accelerating-innovation/).\n\n## Evolution vs. revolution\nWhile many business leaders talk about disruption, revolutions are challenging precisely because they are disruptive. Most companies prefer a more evolutionary approach, which gives employees time to adjust and lowers the risk of failure. However, evolution is slow.\n\nOur most successful customers aren’t merely evolving; they are fundamentally reshaping their software development and reaping significant returns in record time.\n\nJust as the Industrial Revolution transformed physical production, the 2020s will witness a seismic shift in software development. Companies that hesitate or resist this industrialization of software will face obsolescence within the decade. The stakes are high.\n\nBegin preparing for the transition today. Automate ruthlessly, rationalize your processes, and organize software production with the precision of a modern assembly line. Embracing this software revolution is the only way to safeguard your enterprise's future.",[488,491,494,497,500,503],{"header":489,"content":490},"What does “industrialized software development” mean?","Industrialized software development refers to systematizing how software is built, using standardized tools, processes, and automation, to increase efficiency, traceability, and quality, similar to how physical goods are manufactured in modern factories.",{"header":492,"content":493},"How does industrialized software development differ from traditional development?","Traditional development often relies on individual craftsmanship and disconnected tools. Industrialized development, in contrast, emphasizes consistency, automation, visibility, and end-to-end governance across the entire software supply chain.",{"header":495,"content":496},"Will industrializing software development replace developers?","No. This approach doesn’t replace developers, it empowers them. By automating repetitive tasks and enforcing standards, developers can focus on innovation and solving business problems instead of battling complexity or process bottlenecks.",{"header":498,"content":499},"Why is toolchain fragmentation a problem in software creation?","Fragmented toolchains create inefficiencies, increase risk, and make processes harder to audit or scale. They limit visibility across the software lifecycle, resulting in delays, duplicated effort, and missed vulnerabilities.",{"header":501,"content":502},"What role do DevSecOps and AI play in industrialized software?","DevSecOps and AI are foundational enablers. DevSecOps integrates development, security, and operations into one workflow. AI accelerates code creation, automates quality checks, and helps detect issues early, bringing predictability and speed to the process.",{"header":504,"content":505},"What’s the risk of not evolving toward industrialized software practices?","Companies that continue using fragmented, manual approaches risk falling behind. Inefficiencies, delayed updates, and insecure processes can lead to lost market share, higher costs, and even obsolescence in a competitive digital-first economy.","article","why-now-is-the-time-for-industrialized-software-development","content:en-us:the-source:platform:why-now-is-the-time-for-industrialized-software-development.yml","en-us/the-source/platform/why-now-is-the-time-for-industrialized-software-development.yml","en-us/the-source/platform/why-now-is-the-time-for-industrialized-software-development",1761814435706]