Building Your Own Platform Can Backfire Badly

TL;DR: Platform engineering teams that build tools from scratch are 3.5 times more likely to lack a clear strategy, a new report finds. The ease of building, amplified by AI, can mask the absence of a long-term plan.
Key facts
- Category
- Infrastructure
- Impact
- High
- Published
- Source
- The New Stack
Full summary
Teams building their own platforms are 3.5x more likely to lack a clear strategy, a new report from The New Stack finds.
A new report from The New Stack delivers a surprising insight into the world of platform engineering, challenging a long-held belief in the software world. According to its "2026 Future of Platform Engineering" report, teams that choose to build their internal developer platforms from scratch are 3.5 times more likely to lack a coherent, documented strategy compared to teams that buy commercial solutions or adopt open-source projects. This data reframes the classic 'build vs. buy' debate, shifting the focus from a simple trade-off of cost and control to a more critical question of strategic discipline and organizational maturity. The finding suggests that the freedom of a blank slate can often lead to a lack of direction, with significant consequences for engineering efficiency and business outcomes.
This counter-intuitive correlation likely stems from the nature of custom-build projects. The decision to build is often driven by a desire for perfect customization and total control, but this path can easily devolve into a series of reactive, tactical fixes rather than a proactive, planned initiative. Without the built-in roadmap and feature constraints of a vendor or an established open-source project, internal teams can lose sight of the overarching goals. The problem may be amplified by the rise of AI coding agents, which make the act of building seem deceptively easy. This can encourage teams to jump straight into writing code, solving immediate problems without first defining what success looks like in the long term, what the platform's core purpose is, or how it will evolve.
The finding fits into a broader industry trend toward pragmatism in software development. For decades, building bespoke tooling was seen as a hallmark of a top-tier engineering organization. Today, the landscape is filled with mature, powerful, and extensible platforms, both commercial and open-source. The conversation has evolved from "can we build it?" to "should we build it?" This report adds a crucial new question to that calculus: "Do we have the strategic rigor to manage a custom build effectively?" It signals a shift in what defines engineering excellence, where leveraging existing, well-supported solutions is increasingly viewed as the smarter, more strategic choice. This allows engineering talent to focus on creating unique value for the business rather than reinventing infrastructure.
For CTOs and engineering leaders, the report serves as a critical warning rather than a blanket prohibition on building. The key takeaway is that the 'build' path demands an exceptionally high level of strategic planning before a single line of code is written. If a team chooses to build, it must be backed by a clear, comprehensive strategy that defines objectives, identifies stakeholders, establishes a detailed roadmap, and sets measurable metrics for success. Leaders must challenge their teams to justify building not just on technical merits, but on how it delivers a distinct and sustainable competitive advantage. In the absence of such a rigorous justification, the default choice should increasingly be to buy or adopt, reserving the immense investment of a custom build for cases of absolute, strategy-backed necessity.
Why it matters
This finding directly challenges the 'build vs. buy' debate for engineering leaders. It suggests that the decision to build a platform from scratch carries a hidden risk of strategic drift, impacting team focus, resource allocation, and the long-term viability of internal development efforts.
Business impact
Lacking a platform strategy leads to wasted engineering hours, technical debt, and internal tools that fail to meet business goals. This can slow down product development across the entire organization, putting the company at a significant competitive disadvantage and increasing operational costs.
Tags
Related on Notifire
Related stories
Primary source: The New Stack