Zencoder launches Zen Agents, ushering in a new era of team-based AI for software development

Zencoder Has announced the release of today Zen agentsA platform that allows you to share specific AI tools for extensive creation and software of the organization. Includes release Open source market Developers can contribute and discover special agents using an artificial intelligence to use artificial intelligence.

Although the existing AI coding assistants are primarily aimed at increasing the productivity of individual development, zencoder’s approach is to solve the reality of cooperation between modern program engineering, which is often occurred between coding and opinion lovers.

“If you are watching the tools used for real AI in engineering today, this is mainly coding agents,” he said. “And you will even find a strata deeper, you will usually find that it will be directed to an individual developer. All gives perfect sense, because it all starts with the developer, doesn’t?”

However, Filev points to a critical cavity in current solutions: “Engineers do not work alone, because in any successful software work, evolving occurs.”

Zen agents reduce the periods of development by automating the steps between the steps

The new platform appeals to the cavity by giving the teams to create and place special agents to specific frames, workflows or codes. These agents can be shared between organizations and providing consistent experiences while eliminating repetitive tasks.

How does Zen distinguish agents technically, it is its implementation Model Context Protocol (MCP)An anthropic and supported standard Open This allows large language models to interact with foreign instruments.

“As part of this start, we present our own register with more than 100 MCP servers,” File said. “We have created it because because the standard register is still not available.

Industrial analysts see this as a natural progress in developing tools. The initial wave of AI coding assistants increased the productivity immediately for individual assignments, but shortly lost the joint nature of the enterprise program, which is often lost between team members.

Zen agents, test the parts of the development of specialist agents, testing. “For example, let’s say you have an agent reviewing the code,” File said. “Imagine that you have an agent that you trust. The agent does not necessarily be as good as a person finds problems and immediately solve these problems.”

The platform is designed to be ready to be ready for zencoder touting ISO 27001, SOC 2 TYPE II Certificateand ISO 42001 For the EU management systems responsible – the necessary credentials for adoption in security conscious organizations.

Perhaps the most distinctive side of the beginning Open source marketThe wider developer allows the public to contribute to specialized agents. Successful open source ecosystems such as this approach mirrors Visual studio code extensions or NPM packagesIn places where the community contributions are very expanded from something that any seller can develop.

“I’m a great believer in collective intelligence,” File said. “There are so many uses of us that we still do not think, but there would never be resources to cover ourselves.”

Early adopts found value for the establishment of specialized agents. “I am impressed by the examples that connect a few steps in their work flow,” File said File. “For example, you can enter a wire from Figma, automatically created the code, then a boot request – you can present it all as a seamless process.”

Another noteworthy example, accessibility requirements – a field that is often accepted, but often remains under the rubble. “Our developer’s lawyer created an agent who increased the accessibility of the code,” File said. “Everyone in the program acknowledges that the accessibility is extremely important, but in reality teams do not have time to properly solve these needs.”

According to Matt Walker, co-founder and CTO Simon dataThe protection of the press is that Zen agents signed an important evolutionary evolution in the development of AI-auxiliary.

Outside of coding: EU advanced developer races due to streaming status

Estimation for Zen agents He currently follows a simple stepped structure. “Our price plans are true: We offer a free Pier together with a $ 9 choice of $ 20 and $ 40,” he said. “The way I think about it is simple – the more you use it, you make the more money.”

File, looking for ahead, sees Zen agents that develop more autonomy to avoid replacement engineers, but to make them more productive. “It is due to the fact that engineers are not autonomy, but also 10 times more productive for engineers,” he said.

This vision, developers “flow condition” -Periodes, uninterrupted, high-rise work is just out of writing the code to call the “flow situation”. “Our company has Zen on behalf of Zen and start working on something, then jump on something else, not only productive to return to the next position,” File said. “If we can keep you in this stream, the mission was performed, isn’t it?”

Although Zencoder first focuses on the program engineering applications, FILEV pointed to the wider potential. “Many technologies use this technology for engineering purposes,” he said, as an example of personal assistants and marketing automation. “I am interested to see what society created with him – there is a real opportunity to get traction in a wider context.”

As AI tools, the software indicates the future of Zen Agents, the use of technology to change individual tasks and the orchestra of the life of technology. Not only by focusing on the gaps between developers – not only the developers themselves – Zencoder, every code can be found in the “Zen” state where every code is working to be practically.