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ZenCoder Today I announced the acquisition MacDeveloper of Skin Coding Intelligence with more than 100,000 downloads in Jetbrains Environmental system. Zencoder’s position in the auxiliary scene of the sympathetic sympathy of competitive intelligence and expanding its arrival between Java developers and other famous development environments of Jetbrains.
The deal represents a strategic expansion for ZenCoderWho came out of the status of the stealth only six months ago, but soon proved himself as a serious competitor Copilot And other artificial intelligence coding tools.
“At this stage, there are three strong coordination products in the market: it’s the United States, the index, and Windsurf. For smaller companies, it has become difficult and difficult to compete,” Andrev, CEO and Founder of Zencoder, said in an exclusive interview with Venturebeat about the acquisition. “Our technical staff includes more than 50 engineers. For some startups, it is very difficult to keep this pace.”
Great Artificial Intelligence Coding Assistant: Why can young players compete
This acquisition comes in a pivotal moment in the artificial intelligence coding market. Only last week, reports appeared Openai in Windsurf DiscussionsArtificial intelligence coding assistant, for about 3 billion dollars. While Filev maintains that timing is a coincidence, it admits that it reflects the broader market dynamics.
“I think there is more than that, and I am looking forward to that,” said Filev. “It’s a huge product surface. You must support multiple IDES, you must integrate with multiple Devops tools, you must support different parts of the software life cycle. There are 70 languages over 100 years of long -term engineers.”
How Zencoder’s strategy exceeds the competitors dependent on Microsoft
One of the main strategic values of acquisition Mac It is his strong presence in Jetbrains The ecosystem, which is especially popular between Java developers and the background teams of the institutions.
“Jetbrains fans are millions of engineers. They are one of the leading service providers for some languages and software techniques. They are especially known in Java World, a large part of the background interface of institutions,” Filev explained.
This gives ZenCoder an advantage over competitors like Indicator and WindsurfAnd that was built as chocolate from Optical studio code You may face increasing restrictions due to Microsoft’s tightening of licensing restrictions.
“Each of the indicator and Windsurf are the so -called Forks of Visual Studio, and Microsoft recently began tightening their licensing restrictions,” Filev pointed out. “The support of VS Code for some languages is better than the support that the indicator and Windsurf can provide, specifically for C Sharp and C ++.”
On the contrary, Zencoder works with the original Microsoft platforms on VS Code and also integrates directly with Jetbrains Ides, which gives it more flexibility through development environments.
Beyond noise: How to translate the ZenCoder index’s victories into the value of the real developer
Zencoder distinguishes from competitors through what he calls “Ribo re –“Technology, which analyzes the entire code warehouses to provide artificial intelligence models in a better context, and the error corrector pipeline line aims to reduce the errors of code.
The company claims impressive performance on industry standards, with a highlight of Filev from March, which Zencoder showed competitors’ performance:
“on Swe-Bench multimediaIt was the best result of about 13 %, and we managed to easily do the 27 % that we provided, so we doubled the best result. Filev said:
He also pointed to the performance of Openaii: “Ali Swe Lancer The “Diamond” sub -collection, the best result of Openai that they published was in the upper twenties. Our result was in the lows, so we beat Openai by 20 %. “
These criteria are important because they measure the ability of artificial intelligence to solve coding problems in the real world, not just generating a correct but functional symbol.
Multi -agent architecture: Zencoder’s answer to the quality of the symbol and security concerns
It is extremely anxious among the developers regarding artificial intelligence coding tools if they produce a safe and high -quality symbol. Zencoder approach, according to Filev, is building on best software engineering practices instead of re -invention.
“I think that when we design artificial intelligence systems, we must definitely borrow from the wisdom of human systems. The software engineering industry has been developing rapidly over the past forty years,” explained Filev. “Sometimes you don’t have to re -invent the wheel. Sometimes the best way is to take any best practices and tools in the market and benefit from them.”
This philosophy is manifested in the approach of Zencoder agent, where artificial intelligence works as an orchestra user that uses different tools, similar to how human developers use their work.
“We enable Amnesty International to use all these tools,” Filev said. “We are really building a multi -agent platform. In our previous release, we not only charge coding agents, like some of our competitors, but we also ship the unit test agents, and you will see more agents of us on the multi -agent interaction platform.”
Coffee and future mode: When artificial intelligence works while developers take a break
One of the most recent Zencoder features in ZenCoder is the recently launched.Coffee“Who allows developers to set artificial intelligence to work on tasks such as writing unit tests while taking a break.
Filev told Venturebeat in a file Previous interview. “We also would like to say in the company, you can see the waterfall forever and burn the fire and the agent that works in coffee.”
This approach reflects the vision of Zencoder for Amnesty International as a developer class rather than replacement.
“We are not trying to replace humans,” Filev stressed. “We are trying to make it more productive and fast. The more powerful the artificial intelligence technique, the more powerful the person is the person who uses it.”
As part of the acquisition, Machinet will transfer its field and the market to Zencoder. The current Machinet clients will receive guidelines about the transition to the Zencoder platform, which provides improved capabilities through its Ribo restoration technology and artificial intelligence agents.
The new scene of the developer: a quick -developed ecosystem
acquisition Mac by ZenCoder It refers to a turning point in the artificial intelligence coding market, where the largest players accommodate the innovative smaller companies with specialized experience. For decision makers in the institution who evaluate the tools of artificial intelligence coding, the scene turns from the issue of whether these technologies that will provide the most strategic feature should be adopted.
“Jokingly, I think half of Y Combinator is startups, and it is impossible to compete in this space with two engineers at this stage,” Filev pointed out. “You must have some real resources, technical resources and market resources for success here.”
Like the industry’s mighty, such as Microsoft and Openai Deepening their investments in this field, such as companies such as ZenCoder Distinctive positions descended based on the elasticity of integration, standard performance, and engineering philosophies that are in line with the institution’s needs.
For developers who see this standardization of the market, there is one thing that is increasingly clear: the future will not be about whether AI writes your symbol, but it becomes Amnesty International’s favorite programmer when returning from the coffee break.
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