Vibe coding is expected to continue gaining traction among Philippine developers and enterprises as artificial intelligence (AI) lowers the barriers to software development, according to Amazon Web Services (AWS), adding that it offers tools to help ensure that AI-generated applications meet corporate, security and enterprise standards. Vibe coding uses the power of AI to generate software code based on instructions or prompts provided in natural language.
“Vibe coding will continue to grow and we see that as an amazing thing,” Joel H. Garcia, head of technology for ASEAN at AWS, told reporters on the sidelines of an AWS media workshop. He added that the growth is a good thing, as vibe coding makes it easier to turn an idea into a tangible software application.
Vibe coding also provides a low barrier to entry and allows developers to quickly generate code using natural language, allowing enterprises or developers to turn an application idea into reality.
However, Mr. Garcia said organizations that intend to deploy applications into production need more than what vibe coding provides, including a structured approach to software development and considerations for design, security and penetration testing.
“This is where Kiro helps those organizations come up from an idea of agentic and just producing code to something that they can actually deploy into production,” he said.
Kiro is an agentic AI development environment from AWS that helps developers move from prompts to structured specifications and then to working code, documentation and tests.
Its spec-driven development approach organizes an application idea into requirements, design and implementation tasks before code is generated, while its steering features allow developers to set project-specific patterns, libraries and standards.
During the media workshop, BusinessWorld had a first-hand experience with Kiro, as AWS demonstrated how easily an application can be developed using the platform’s Vibe Code mode and how firms can leverage the more advanced Spec mode to tailor applications to meet industry-specific requirements.
On matters of security, Mr. Garcia said spec-driven development provides specific guardrails and steering files that guide AI to generate code and applications that meet corporate, security and enterprise standards, while human developers remain involved to review, steer and iterate on the AI-generated output to ensure high-quality results.
“Even with agentic coding, there is still [a] human in the loop. [A] human in the loop still needs to review, still needs to steer, still needs to iterate on the specifications to get to the right outcomes, right output,” he said. — Edg Adrian A. Eva
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