# Saigon Technology Tackles Velocity Debt in AI Software Development

- Link: https://www.thailand-business-news.com/pr-news/saigon-technology-tackles-velocity-debt-in-ai-software-development
- Published: 2026-08-24T20:00:00+07:00
- Author: PR Newswire

NEW YORK, Aug. 24, 2026 /PRNewswire/ — Saigon Technology, an AI-native software 
engineering partner with more than 14 years of experience, is addressing a growing
challenge as businesses build production-ready software with AI: software can be
created faster than it can be evolved.

AI has changed the economics of software development. Teams can move from an idea
to a working product in days, using AI to generate code, build interfaces, create
tests, and automate repetitive engineering work.

But once the first version is live, a different question takes over: Can the software
keep up with the business?

**The first release is getting faster. The next one is the real test.**

Scaffolding, CRUD functionality, first-pass interfaces, documentation, and test 
generation can all be accelerated. The challenge often begins with the second feature:
a new pricing rule, approval workflow, integration, user role, or higher transaction
volume.

At that point, the question is no longer whether AI can generate code. It is whether
the existing software can be understood, extended, and trusted.

Saigon Technology refers to this emerging gap as "velocity debt": the difference
between how quickly software was created and how easily it can evolve. The development
cost has not disappeared; some of it has simply moved further into the product lifecycle.

"AI has revolutionized development speed, but without a solid foundation, companies
can quickly hit a wall," said Phong Le, AI Tech Lead at Saigon Technology. "The 
goal is to help businesses move fast without making future changes unnecessarily
expensive."

[⌊Saigon Technology AI Tech Lead presents at an industry technology event⌉⌊Saigon
Technology AI Tech Lead presents at an industry technology event⌉[
Saigon Technology
AI Tech Lead presents at an industry technology event

**Where AI-built software can lose momentum**

The issue is not AI itself. It is what happens when the speed of generation is not
matched by engineering discipline.

Business logic can become distributed across multiple layers. Similar functionality
may be duplicated rather than designed as reusable components. Tests can verify 
implementation without fully protecting the business behavior the application needs
to preserve.

Data and architecture can create another constraint. A design that works well for
an [MVP](https://saigontechnology.com/services/mvp-development/) may become difficult
to scale or customize as transaction volumes, integrations, and business requirements
increase.

The result is a product that was fast to build but increasingly slow to change.

**The answer is optimization, not automatic rebuilding**

Saigon Technology’s approach does not assume every AI-assisted codebase requires
a rewrite. Engineers first assess what is structurally sound and what is creating
the constraint.

Some applications can be strengthened through better testing, observability, and
engineering controls. Others may benefit from isolating and progressively replacing
a problematic component. Where architecture is sound but the work is repetitive,
[AI agents](https://saigontechnology.com/services/ai-agent-development/) can accelerate
refactoring within an engineer-designed test and CI environment.

When the underlying domain or data model is fundamentally flawed, [rebuilding the core](https://saigontechnology.com/services/legacy-application-modernization/)
while preserving useful interfaces and existing product knowledge may be more effective.

Remediation remains an engineering decision, not an AI tool decision.

**AI-native does not mean AI-generated**

For Saigon Technology, AI-native engineering means using AI where it creates leverage:
coding, testing, analysis, documentation, and repetitive transformations. Senior
engineers remain responsible for architecture, domain modelling, data strategy, 
security, scalability, and build-versus-rebuild decisions.

The objective is not to maximize the amount of code generated by AI, but to maximize
the engineering effort AI can remove without compromising the quality, scalability,
or maintainability of the final system.

**About Saigon Technology**

Saigon Technology is an AI-native software engineering partner founded in 2012, 
with 400+ engineers and 850+ projects delivered to 350+ clients worldwide. The company
uses AI to accelerate delivery while keeping architecture and security decisions
with senior engineers, building systems designed to scale and evolve.

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  |  This article was produced by Cision PR Newswire, our trusted news partner. The views expressed and the content presented here are solely those of the author and may not fully reflect the opinions of Thailand Business News. |

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**Read the original article :** [Saigon Technology Tackles Velocity Debt in AI Software Development ](http://www.prnasia.com/story/archive/5026499_HK26499_0?rand=184833)