Zencoder, Zen agents, which sets a new era of team -based artificial intelligence to develop software

ZenCoder Today I announced a launch Zen factorsA platform that allows the creation and participation of specialized artificial intelligence tools for software development. Includes version Open source market Where developers can contribute and discover dedicated agents, which represents a major shift in how to benefit from artificial intelligence development teams.

While current artificial intelligence coding assistants focus mainly on enhancing the productivity of individual developers, ZenCoder’s approach addresses the cooperative reality of modern software engineering, where delay occurs between coding rings and comments.

“If you look at the tools that are used today in AI Real in Engineering, they are essentially the coding agents with IDE,” Andrew, Andrev, CEO and founder of Zencoder, said in an exclusive interview with Venturebeat. “And if you dig a single layer deeper, you will find that it usually focuses on the individual developer. All this is completely logical, because everything begins with the developer, right?”

But Filev refers to a critical gap in current solutions: “There is this full layer of things that you can do in a way that exceeds individual engineers, because engineers do not work alone. In any successful software works, development occurs in the difference.”

How ZEN factors decrease development courses by automating the steps between steps

The new statute addresses this gap by enabling the teams to create and publish dedicated agents designed on specific frameworks, workflow or code. These agents can be shared through organizations, ensuring fixed practices while eliminating repeated tasks.

What distinguishes Zen factors technically is their implementation of Form Context Protocol (MCP)The standard of its anthropologist and supports it Openai This allows large language models to interact with external tools.

“As part of this launch, we offer our own record that contains more than 100 MCP servers,” explained Filev. “We have created this because there is no standard record yet. If there is a standard record, we will simply call it, because our true value comes from our dealers and our specialized tools.”

Industry analysts believe that this is a natural progress in development tools. The initial wave of artificial intelligence assistants has provided an immediate productivity of individual tasks, but it was short in addressing the cooperative nature to develop institutions programs, as time is lost in offers between team members.

Zen Agents aims to address these offers by allowing agents specialized to automate parts of the development life cycle, from reviewing code to the test. “For example, let’s say that you have an agent to review the code,” said Filev. “Imagine that there is an agent you trust. The customer should not necessarily be as good like a person, because if he finds problems and provides comments immediately, you can address these problems immediately.”

The statute is designed to be ready for institutions, with zencoder education ISO 27001and SOC 2 Certificate of Type IIAnd ISO 42001 For responsible artificial intelligence management systems-accreditation papers needed to adopt in the conscious security organizations.

Perhaps the most distinctive aspect of at all is Open source marketAnd that allows the most developer community to contribute to specialized agents. This approach reflects successful open source ecosystems such as Optical studio extensions or NPM packagesWhere society’s contributions greatly expand the capabilities beyond what any one seller can develop.

“I am a great believer in collective intelligence,” note Filev. “There are many cases of use that we have not yet thought about, and even if we all imagined them, we will never have resources to cover ourselves.”

The first adoption has already found a value in creating specialized agents. “I was affected by examples that merge several steps in their workflow,” Filev subscriber. “For example, you can pull a wireless frame from Figma, create an automatic code based on that, then send a withdrawal request – all as a smooth process.”

Another noticeable example that deals with accessibility requirements – an area that is often recognized as important but often canceled under narrow final dates. “Our lawyer has created an agent that improves access to the code,” said Filev. “Every person in the programs agrees that access is very important, but in reality, the difference does not always have enough time to properly address these needs.”

According to Matt Walker, co -founder and CTO from Simon dataWhat was transferred in the press statement, the effect was measurable: “Zen’s factors are an important development in the development supported by artificial intelligence. The agents who are operating, as well as the MCP integration, allows us to build specialized tools of artificial intelligence that really understands our development difference.”

Beyond coding: The race towards the improved developer flow

Pricing Zen factors It is currently following a simple structure. Filev said: “Our pricing plans are clear: We offer a free layer, along with a monthly options worth $ 20 and $ 40,” although he indicated that with the growth of use, the company is studying expanded options. “The way I think about it is simple – the more I use it, the more the money you provide.”

Looking at the future, Filev believes that Zen’s agents are developing towards more self -independence, not to replace engineers but to make them significantly more productive. He said: “We are racing towards autonomy – not with the aim of replacing engineers, but with a vision of making engineers more productive 10 times.”

This vision extends beyond the mere writing of software instructions to preserve what the developers call a “flow state” – work factors without interruption and very fruitful. “Our company has its name, and it is not sure to start working on something, then jumping to something else, just to return later to the original mission,” Filev explained. “If we can keep you in this way of flowing, it will be the task, right?”

While Zencoder initially focuses on software engineering applications, Filev did not insist on wider capabilities. He said: “Many of my friends in technology are already using this technology for non -engineering purposes,” referring to personal assistants and marketing automation as examples. “I am curious to find out what society creates with it – there is a real possibility that can gain strength in a much wider context.”

Since the tools of artificial intelligence ripen in software development space, Zen agents refer to a future as technology becomes less about replacing individual tasks and more about organizing the entire life cycle. By focusing on the spaces between the developers – instead of the developers themselves – Zencoder may have found the way to this state “Zen” dodging every programmer seeks to: build programs that seem to be writing practically themselves.

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