In the span of just a few weeks, software errors have been implicated in Rivian’s recall of thousands of EVs, a catastrophic Air India crash, and a crippling Starlink outage. The message is clear: in 2025, software is as vulnerable as it’s ever been. Failures are impacting safety and spilling into mission-critical systems, global infrastructure, and billion-dollar industries.
When we published Why Software Development Projects Fail in 2024, we noted how the causes of failure are dynamic, shifting with industry practices and pressures. A year later, the core reasons remain, but their weight has changed.
What once seemed peripheral has grown central. What once dominated the conversation has receded.
Starting with the least and ending with the most prevalent, here’s a reshuffled (and re-imagined) list of reasons for software failures in 2025.
Agile Methodology Shortcomings
Agile was once revolutionary. Born as a manifesto rather than a methodology, it promised freedom from bureaucracy, faster delivery, and software that truly served stakeholders. Scrum reduced meetings. Jira digitized whiteboards. Continuous delivery accelerated release cycles.
For some time, the results spoke for themselves: software was shipped faster, cleaner, and leaner.
But over the years, agile ossified. The principles hardened into dogma. Tools became the center rather than the enabler. Meetings multiplied. And instead of keeping development nimble, Agile often weighed it down.
Joe Procopio, a veteran of several startup exits, described it bluntly: Agile-inspired practices have “devolved into a bunch of make-work led by people who view technology as a commodity.” His provocation drew outrage, but his point resonated with a growing number of engineers and leaders. The rituals of Agile—sprints, standups, ceremonies—were meant to liberate; however, too often, they’ve become shackles.
The consequence is that teams suffocate under process, software loses its excitement and craft, and organizations clinging to strict Agile orthodoxy find themselves less innovative, not more.
Agile, originally designed to minimize failure, has in many cases become one of its contributors
Inadequate and Incomplete Specification
Part of the problem with agile is its bias toward working code over documentation. In principle, this makes sense: shipping early and iterating is better than endless planning. But in practice, the pendulum has swung too far.
Also read: A Definitive Guide To User Stories
When you consider how it is now a routine complaint amongst both tech and business leaders that software projects too often suffer long development delays and expensive cost overruns due to misalignment between the two, the failures of the past year start to make sense.
When specifications change as they often do, business and technical teams fall out of alignment. Operational goals diverge from technical feasibility. Requests are misunderstood. Timelines slip and resources are stretched thin.
The result is a familiar litany: projects that collapse under the weight of their own contradictions.
All too often, business and development leaders forget that achieving a solidly built application requires more than speed. As we’ve seen with the glut of failures this year, without thoughtful upfront consideration and cohesive alignment, businesses risk building unstable applications that may require painful rebuild later.
Non-Memory-Safe Programming
When we flagged non-memory-safe programming as a root cause of software failures in 2024, some readers thought it was a stretch. However, the evidence is hard to ignore: Microsoft once admitted that 70% of its security vulnerabilities originated from memory safety issues in its C and C++ codebase.
The debate isn’t new. For decades, C and C++ have been the foundation of systems programming—powering operating systems, browsers, embedded devices, and performance-critical infrastructure. Their appeal lies in raw speed, flexibility, and tight control over hardware.
But this control comes at a steep cost. Developers must manually manage memory allocation and deallocation, opening the door to bugs like buffer overflows, dangling pointers, and use-after-free errors. These flaws are easy to introduce, notoriously difficult to eliminate at scale, and continue to account for a large share of today’s cybersecurity crises.
So why hasn’t the industry moved on? In a word: inertia. Retraining developers, rewriting massive code libraries, and replacing legacy systems is expensive, risky, and slow. Businesses choose to patch over vulnerabilities rather than rebuild from the ground up.
While the landscape has begun to shift, with policymakers as well as industry leaders pushing for alternative adoption, the reality of 2025 is that unsafe code remains deeply entrenched. For all the momentum toward safer alternatives, the reign of non-memory-safe programming languages isn’t ending anytime soon.
Infrastructure as Chokepoint
Finally, the new entrants to our list of reasons software fails.
We like to believe that software collapses just because of bad code. Bugs are concrete; they can be traced, debugged, and patched. They give us the illusion that software risk lives primarily in logic. But recent history keeps proving otherwise, not once or twice.
As you may have noticed, the most devastating failures of the past years have rarely come from application logic. They come from the invisible scaffolding underneath—infrastructure.
This is the paradox of modern software. We obsess over application logic and flirt with the idea of an off-the-shelf deployment solution, only for the infrastructure layer to slowly become a huge bottleneck to operation, disrupting thousands of processes.
Maintaining a functional IT infrastructure is proving to be a significant challenge for a business in 2025 and the lesson in this is that code rarely fails alone. We can build perfect APIs, elegant architectures, and memory-safe logic—and still crumble if the infrastructure beneath is brittle.
Application chokepoint isn’t always your codebase. Increasingly, it’s the invisible foundations it’s hosted on. And when those are not engineered to strength, be it through precise configuration, monitoring for cracks, and other such best practices, no amount of clean architecture will save you.
Continue here: Untested Code Is Costing Enterprises Millions — and It’s About to Get Worse
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