In the context of artificial intelligence increasingly penetrating deeply into the technology industry, Spotify has just revealed a noteworthy step when their internal AI system can self-write, correct errors and deploy code with minimal human intervention.
The information was announced by CEO Gustav Soderstrom at the Q4 earnings report meeting. According to him, the company's best developers have not written a single line of code since December, instead switching to the role of guiding and censoring AI-generated products.
The center of this process is Honk, an internal AI tool built on Claude Code and integrated with the ChatOps system running through Slack.
Honk not only creates source code, but also has the ability to detect and fix errors, add new features, and even deploy updated versions in real time.
According to the CEO's description, an engineer on their way to work can use Slack on their phone to ask AI to edit iOS applications.
When the system is completed, the new version will be sent back immediately on Slack for engineers to review and officially integrate, the entire process takes place before they arrive at the office.
Spotify said this model significantly shortens the product development cycle. Instead of spending time on repetitive code, engineers are now focusing on system architecture, product orientation and AI output quality assessment.
In other words, the role of humans does not disappear, but shifts from "writers" to "controllers and decision makers".
Mr. Soderstrom emphasized that this is not yet the final destination of AI in software development. "We believe this is just the beginning," he said.
Not stopping at the technical field, Spotify also said they have the technology and capabilities ready to support artists to create derivative works such as AI remixes.
The company also called on record labels to participate in signing appropriate licensing agreements, paving the way for a new creative ecosystem based on artificial intelligence.
The fact that Spotify lets AI take on most of the programming stage shows a trend that is forming in the technology industry that AI is not just a support tool, but gradually becomes a real colleague.
In this model, productivity is pushed up, but human requirements for system thinking, risk control and strategic decision-making are also becoming more important than ever.
