Designveloper

Designveloper An AI-driven software development company in Vietnam, providing web and app solutions to businesses since 2013.

Designveloper is the leading software development company in Ho Chi Minh City, Vietnam, founded in early 2013 with a team of professional and enthusiastic Web developers, Mobile developers, UI/UX designers and VOIP experts. Following a systematic approach, we intend to deliver the best and most cost-effective software services to our clients.

A successful app usually does not begin with the question, “What features should it have?” It starts with a simpler one:...
05/08/2026

A successful app usually does not begin with the question, “What features should it have?” It starts with a simpler one: “Where are users struggling?”

From there, your app idea can be developed through 10 steps:
1. Define the business problem
2. Understand your target users
3. Research the competition
4. Select the core features
5. Choose the right app approach
6. Estimate the budget, timeline, and team
7. Design the user experience
8. Build the MVP
9. Test security, performance, and usability
10. Launch, measure, and improve

A great app does not need too many features. What matters is solving the right problem and delivering real value to users.

If you have an idea and want to turn it into a real application, contact Designveloper to discuss a development roadmap that fits your goals and budget.

29/07/2026

Microsoft CEO Satya Nadella warns that companies relying on a single AI for everything may not survive.

There is no one-size-fits-all tool for mobile app development. The right choice depends on your platform, project needs,...
28/07/2026

There is no one-size-fits-all tool for mobile app development. The right choice depends on your platform, project needs, and team expertise.

From native development and cross-platform frameworks to design, backend, automation, and testing, here are 10 tools worth considering for your mobile app workflow.

Want to know which tool best fits your project? Read the full Designveloper article via the link in the comments.

It’s hard to choose the best programming language because they all keep me coding until 3 a.m. 😬
27/07/2026

It’s hard to choose the best programming language because they all keep me coding until 3 a.m. 😬

24/07/2026

My Python skills are very hands-on 🐍

23/07/2026

MVP Development Cost in 2026

AI-generated code can work on the first try. But “it works” does not mean “it’s ready for production.”The real risk is c...
21/07/2026

AI-generated code can work on the first try. But “it works” does not mean “it’s ready for production.”

The real risk is code that looks convincing, passes basic tests, and creates false confidence.

Think twice before using AI-generated code for:

1. Security-critical features involving authentication, access control, encryption, or sensitive data.
2. Unclear requirements or problems that the team does not fully understand yet.
3. Long-term architectural decisions that require deep business and system context.
4. Production incidents that demand careful investigation and root-cause analysis.
5. Legacy systems with hidden dependencies and limited documentation.
6. Generated code that you cannot confidently review, explain, or maintain.
7. Tasks that provide valuable opportunities to develop your engineering judgment and problem-solving skills.

AI should support engineering judgment, not replace it.

At Designveloper, we use AI to improve development speed, but we also know when human expertise matters more. Our developers carefully balance AI-assisted coding with hands-on engineering, especially when security, sensitive data, system architecture, and production incidents are involved.

Every piece of code is reviewed, understood, and validated by our team before it reaches production. AI may support the process, but code quality, system security, and production outcomes always remain under human ownership.

What if the best way to protect an AI is to let another AI try to break it first?OpenAI has built GPT-Red, an AI “super-...
17/07/2026

What if the best way to protect an AI is to let another AI try to break it first?

OpenAI has built GPT-Red, an AI “super-hacker” designed to uncover vulnerabilities in other AI models before real attackers can exploit them.

Working in simulated environments involving websites, emails, calendars, and code, GPT-Red tests models using techniques such as prompt injection. It even discovered a new attack called “fake chain of thought,” which tricks an AI into treating false information as if it had already been verified.

The results are striking:
- More than 90% of GPT-Red’s strongest attacks reportedly succeeded against GPT-5.
- Fewer than 23% worked against the newer GPT-5.6.
- In one experiment, GPT-Red found effective attacks more successfully than human security testers.

However, GPT-Red still struggles with attacks involving extended conversations and image-based prompt injections. OpenAI says the system will support human security experts, not replace them. The company also has no plans to release it publicly.

The bigger idea is fascinating: AI systems may increasingly need to attack one another in controlled environments to become safer in the real world.

Would you trust an AI trained this way to withstand future cyberattacks?

Follow Designveloper for the latest technology updates every day.

15/07/2026

How Long Does It Take To Build A Web App?

Address

53-55-57 Pho Duc Chinh Street, Ben Thanh Ward
Ho Chi Minh City
700000

Opening Hours

Monday 09:00 - 18:00
Tuesday 09:00 - 18:00
Wednesday 09:00 - 18:00
Thursday 09:00 - 18:00
Friday 09:00 - 18:00

Telephone

+84886017191

Website

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