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Home » Why software factories are back – and how they work in the age of AI
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Why software factories are back – and how they work in the age of AI

Business Circle TeamBy Business Circle TeamAugust 12, 2026No Comments6 Mins Read
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Andriy Onufriyenko/ Second through Getty Photos

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ZDNET’s key takeaways

  • Software program factories will put together prototypes for large distribution. 
  • Main AI corporations are creating the foundations.
  • The specter of day by day releases and updates calls for higher automation. 

Tune into the TV present Shark Tank, and essentially the most recurring query you hear voiced by the enterprise capitalists to budding entrepreneurs is whether or not they have preparations with a manufacturing facility to cost-effectively mass-produce their pooper-scoopers, consolation socks, or scrub pads. The thought of a mass-production facility might make sense for software program supply as nicely.

Think about submitting your prototype — equivalent to a vibe-coded preliminary model of an app — to a service that may mass-produce your answer in a repeatable, automated trend for supply to a large viewers. Such is the promise of the “software program manufacturing facility.”  

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There’s nothing new concerning the idea — it was all the excitement about twenty years again as extra software program improvement grew to become componentized and repeatable. Microsoft was speaking about software program factories again in 2008. The thought pale for some time, however now it is again, fueled by the speedy manufacturing of software program code generated and managed by synthetic intelligence.

Till lately, even with automation and DevOps practices, “coding created the bottlenecks for lots of organizations,” Moritz Plassnig, CEO of CloudBees, advised ZDNET. “You needed to rent extra engineers, however it was very laborious and dear to rent them.” 

At this time’s software program manufacturing facility is constructed on AI fashions

Due to the coding capabilities of basis AI fashions and related brokers, the idea of the software program manufacturing facility has been revived — with the automation of the software program improvement lifecycle into repeatable chunks receiving severe consideration. With agentic coding, “we’re much less constrained on the coding aspect,” Plassnig stated. It may additionally elevate the roles of IT professionals. “Developer craftsmanship will not be going away, as devs and engineers shift from writing code to exercising judgment round what will get constructed and shipped.”

At this time’s software program manufacturing facility idea is constructed across the AI fashions now available on the market — and the idea is sort of the identical throughout all of the fashions. “Over the previous 18 months or so, most of the corporations which might be on the slicing fringe of utilizing brokers to automate their software program improvement life cycle have been constructing the identical machine, and independently coming to the identical conclusion on what this machine appears to be like like,” in keeping with Jaymin West, a forward-deployed engineer and expertise evangelist, in a current YouTube video. 

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The businesses constructing out software program factories embrace the luminaries of right now’s agentic economic system: Anthropic, Cognition, Cursor,  Manufacturing facility, Google, Github, OpenAI, and Ramp. “Each single one in all these corporations has converged on the identical form,” West identified. “It is actually essential at this level to understand that these are the businesses on the innovative and there’s a clear sample forming on how they’re structuring their total engineering framework.”  

(Disclosure: Ziff Davis, ZDNET’s father or mother firm, filed an April 2025 lawsuit towards OpenAI, alleging it infringed Ziff Davis copyrights in coaching and working its AI programs.)

The software program manufacturing facility serves as a option to rapidly act on concepts, Plassnig illustrated. “For example someone works in a buyer help position, and so they have an attention-grabbing concept primarily based on all of the suggestions they hear from prospects. Like a automobile manufacturing facility, you’ve a prototype that is experimental. However then you’ve a manufacturing facility that produces the vehicles at scale. Likewise, that individual with the software program concept can submit it to the manufacturing facility and the primary iteration of that will get created. Then the product, engineering and IT professionals have a look. Then the manufacturing facility can take it once more and make it.”

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The software program manufacturing facility helps handle the problem of validating and sustaining a whole bunch of hundreds of strains of code, together with the software program releases, updates, and refreshes that now happen every day at many organizations.

“We’ll get to the purpose the place as people [we] cannot validate what’s working and what’s not likely working anymore,” Plassnig stated. “You wish to know if software program is definitely working, if there aren’t any bugs, if there’s not an error charge that is spiking. Or perhaps it is working, however is the agent’s reminiscence utilization greater than you need? At this time, you’ve people all these alerts, however then you probably have 100 instances extra adjustments, like each couple of minutes, it breaks.” 

What does a software program manufacturing facility appear like? 

A typical software program manufacturing facility, as supported by the muse fashions, is made up of six elements, West outlined:

  1. Queue: “Work arrives as a problem, not a immediate.”
  2. Management airplane: “A sturdy floor, not a laptop computer.”
  3. Sandbox: “One per job. Destroyed after.”
  4. Pull request: “The output unit. Retrieved by a human.”
  5. Occasion stream: “Watch each motion. Kill it with out destroying the run.”
  6. Sturdy reminiscence: “The sandbox does each run. What will not be written to a file doesn’t survive.”

After all, software program factories, regardless of how environment friendly, aren’t a panacea for good software program practices. 

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“It is no secret now that code technology is extremely straightforward,” stated West. “It is extremely low-cost. Verification has grow to be the blocker for lots of those corporations. Ensuring that brokers write code may be very straightforward. However ensuring that that code is appropriate remains to be a significant engineering drawback. And it is essential to debate why constructing a software program manufacturing facility does not imply you are simply excusing verification or degrading the standard of your codebase.” 





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