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As many businesses, the past year, Intuit mailchimp has been carried out with an experiment VIBE CODING.
Initance MailChimp provides opportunities for email marketing and automation. This is a part of a large intuition organization that travels permanently during the last few years Knee and the Ageni Ai Possibility of their own business departments.
If the company has your own capacity, MailChimp Some cases have found a need to use vibe code coding weapons. All this has begun, because a lot of things, so much, tried to swim a solid timeline.
I need to be patient with the immediate stakeholder stakeholder. Normal design like the figure could not deliver the necessary worker prototype. Some MailChimp engineers were experienced in cooperation with AI coding instruments. When the stated time touches the deadline, they decided to test these weapons on a real business call.
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“We really faced a really interesting situation, for our loved ones, and it needed the main architect in Shivang, Irveng mine.
Mail engineers have used vibe coding weapons and am amazed at the results.
“Something like this, we may require us such days” said Şakh. “We were very interesting if we did it in a couple hours.
This prototyt session caused MailChimp to take a wider acceptance tool tools. They used these tools to speed up to 40% in the development of the company, which reached a speed of up to 5% in obtaining information on the examination of the person’s examination, the tool and other enterprises.
Q & A “Evolution” Evolution to do this for me
MailChimp Visits reflect how developers are connected with AI. At first, the initial instructions for the recommendations of the algorithm have used AI tools.
“I think a number of engineers who have been used to make a number of engineers who have been used to make a small form until I have encoded Vibi, which is the right algorithm this right algorithm this right algorithm I am trying to solve me for me. Declared by Shah.
Paradigma has changed fundamentalized with modern Ai Vibe Coding. Instead of using the answer, instead of using the answer, the use of weapons actually became more information about coding work.
This means recommendations that these enterprises are developed to date.
MailChimp The only AI deliberately accepted coding platforms several times. The company uses an understanding of the cursor, Windsurf, Aguba, Coos and Guilot.
“We know that depending on the living cycle of your program, different devices will provide you different privileges or various expertise,” he said.
This approach is to place various specialized equipment for the stages of development of enterprises. Companies avoid each other size – can make a wonderful decision in some areas.
The strategy is better than the theoretical planned. Different tools through MailChimP are different tools that make their best activities within their own development activities.
Control frames prevent AI code chaos
Management Analysis of management analysis at MailChimP. The company implemented on the basis of politics and procedural gratics, which other enterprises used to be used.
On the basis of politics, AI contains different AI’s reviews based on AI client data. Process-installed controves remain victims. AI can spend the original code, but before any code is placed, but person is required.
“Always will be a man in a cycle,” he said. “It’s always a person who always has to clean it, we will check the intestines, and check that it is actually solving the right problem.”
This dual classification solves common concern among enterprises. Companies want the productivity of the Code of the Code and the productivity of AI.
The restrictions in context require strategic accounts
MailChimp AI found that the coding instruments faced serious restrictions. Weapons understand the general programming samples, but lacking specific knowledge in the field of business.
“AI learned as much as industrial standards, but at the same time, the existing user will not be corresponding to the existing user,” said Cheh.
This concept has been criticized. Successful AI coding engineers are increasingly accepted by thorough instructions based on technical and business education.
“You still need to help you to help you improve the system of technologies, business, domain, existing architecture, current architecture, and what you know,” he said.
Practical significance for enterprises: Teams have to train both weapons and the context of business context to AI systems.
The production gap in production before prototype remains significant
Mutuncatching tools Excel quickly in prototype. The complexity of integration, safety requirements and system architectures still require a person’s important experience.
“Because we have prototype, we must not jump it on the size of x.” “The prototype is not equal to prototypes to produce prototype.”
This course helps companies to establish real expectations on the impact of the AI coding weapons to development. Weapons have serious assistance to prototype and primary development, but they are not a magical solution to save the entire software.
Go to the high value of a strategic foc case
The most transformational influence was not just a speed. Weapons allowed engineers to focus on highly meaning. Mailchimp engineers spend more time on the operation of system and customer operations, not repeated coding instructions.
“This will help us to spend more time with the system and architecture,” said Şakh. “Then we really do all work for our customers and their daily responsibilities.”
This means that these shift should lead to the coding with the NGOs in addition to the productivity norms. Companies should notice the strategic value of the work that human developers will decrease.
Lower line for enterprises
The MailChimP experience for guidelines in the fight against the development is the important principle. Requires success to get AI code tools.
Organizations holding this balance will have permanent competitive advantages. They achieve human control and technical capabilities in proper mixing, personal management and quality productivity and quality productivity.
AI provides an evidence for business experimentation of travel experts for business experimentation for the reception of the cycle to the cycle of the cycle. The main concept remains consistent: AI can increase the increase in human developments, but the experience and supervision of human experience remains important for production success.
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