(PDF) The Construction Industry's Future

AI's Vibe-coding Era: How The Shift To Apps Changed The Race

Value within the artificial intelligence industry is slowly shifting, from the companies developing models to the apps building on top of them. 

Early in the AI race, critics viewed apps like Perplexity, Replit, Sesame and Abridge as second-rate middlemen, slapping an interface on someone else's technology. They were disparagingly known as AI wrappers: companies with entire apps or businesses wrapped around existing models. Companies like OpenAI, Google, Meta and Anthropic developed their own models.

The arrival of ultra-efficient models and increasing model commoditization accelerated the shift.

"There was an impression that the only way to compete in AI would be to raise hundreds of millions of dollars to pre-train these web-scale models that could solve every problem underneath the sun, and that was the only game in town for AI," said Shiv Rao, founder and CEO of the healthcare AI startup Abridge. "Very quickly, people figured out that actually, value moves up the stack." 

Megacaps like Microsoft poured billions into the first stage of the AI arms race, focusing on the infrastructure and model layer. But models are now increasingly looking commoditized, narrowing the advantage that any model-builder had. While they focused on delivering raw capability and intelligence, app companies looked at real-world uses and solutions.

"[Wrapper] just sort of means that it feels less thoughtful. It feels like you're giving this little package around what was built. As opposed to what it really means is, 'I'm going to understand the customer's problem,' " said Andreessen Horowitz partner Bryan Kim. "I'm going to marry this and deliver a solution to what you're trying to achieve."

Wrappers have even changed the way Silicon Valley builds, ushering in the era of vibe-coding. With an app like Cursor, one of the fastest-growing startups ever, anyone can develop an app without a degree or years of coding expertise.

"I love the phrase vibe-coding because, actually, I think it points to ... This new way that we're going to interact with these systems where we're not necessarily going to interrogate all of what they do in process," said E14 Fund Managing Partner Calvin Chin. "Over time as the models improve and these products built on top of them improve, we're going to get other kinds of vibe-activities in the economy. So maybe it's vibe-lawyering, vibe-accounting, and we're going to trust the models more and more."

Watch the video to learn more.

Instabug Launches AI Tools To Enhance Mobile App Experience And Retention

Instabug Inc., an artificial intelligence-powered mobile app observability and performance platform, today launched new features enabling developers to analyze user experience, targeting user frustration in a bid to increase retention.

Launched in 2014, Instabug known for a feature that allows users to shake their phone, or mobile device, to report a bug. It's a full-featured mobile app quality platform providing developer teams with insights into app performance, issues, user session replays, crash reporting and more.

Today's new set of features includes a consolidated method for tracking user frustration, focused around what the company calls "frustration-free sessions."

Users encountering bugs and issues in mobile apps often don't often complain directly. Instead, they may navigate aimlessly, struggle with menus or abandon the app altogether. This sort of frustration is either borne out in bottlenecks by slowing down in their progress or simply leaving the app, such as throwing items into a retail cart and then not buying anything because the app crashed or they were looking at a spinning circle.

"Oftentimes you get product and business managers who say we need to compete with our competitors on all the latest features, that's the most important thing," Kenny Johnston, chief product officer at Instabug, told SiliconANGLE in an interview. "Well, actually when you look at the data, if you want to increase app retention and active users, what's important is fixing app crashes or that slow screen load."

Part of observability is understanding that the app is performing badly under the hood, causing the user to become frustrated because it's running slowly or there's a bug. Another part is revealing what parts of an app are causing users the most issues to give developers and business users a head's up on where to focus their efforts.

Instabug uses AI to give technical managers a holistic view of app performance by combining what the company calls "frustration signals" and links them to real business impact so that these insights can be understood. This allows technical and business teams to work together to prioritize what technical improvements will keep users happy.

The Business Impact Dashboard enables business users to understand, justify and allocate technical resources based on data-driven insights into how app performance affects key business metrics. The dashboard includes an AI-generated description that explains how fixing the technical issues will benefit real-world business metrics.

"We spend a lot of time on mobile," Johnston said, explaining that quality standards on mobile is set very high. "There's no multitasking, every perceived issue in an app you are experiencing 100% of that perceived slowness. It's also very easy to switch apps. So, the expectation about what makes the greatest airline app isn't set by that app, it's set by Instagram and Facebook. It's not about me not using the competitor's app; it's me comparing it to the best app on my phone."

Not all bugs and crashes are created equal, of course. Some crashes happen only to one in a billion users and are rarely seen, but some happen to thousands of users a day and have actual business impact. This is why Instabug created a prioritization list that shows which ones are causing the greatest issue for users and should be focused on and links them directly to their metrics and their observability telemetry so that they can be assigned to developers.

"We find that every mobile developer you know is proud of the app they built knows there are issues is aware of these pain points and they love to solve them," Johnston said. "They just need this kind of business justification and why they should prioritize it."

By having an AI-powered data-driven insights dashboard that business users can see to understand why they should budget time to maintenance, developer teams have the tools they need to show how that will help keep users who would otherwise abandon the app.

"Showing developers the real impact of what they're building, I think, is critical," added Johnston. "I'm always a big proponent a better software experience and that's not always the most innovative UI or new feature. A lot of it is just how we deliver our quality app."

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How To Download DeepSeek AI App?

Artificial intelligence is improving the quality of life. AI apps are now used daily by over 80% of smartphone users. One such app is the DeepSeek AI App. This app is useful for writing, searching, and content creation. It can also serve as a portable personal assistant. Follow the steps in this blog to download the DeepSeek AI App.

Why Choose the DeepSeek AI App?

The software is rapidly becoming more and more popular. According to recent data, DeepSeek AI has been downloaded over 500,000 times worldwide. DeepSeek AI App is compatible with both iOS and Android. People use it for idea generation, content production, and fast responses. The application is lightweight and simple to use, making tasks simpler and faster.

How to install DeepSeek AI on Android?

Step 1:  To download DeepSeek AI, open the Google Play Store.

Step 2: In the search bar, type "DeepSeek AI App."

Step 3: Verify that the developer's name is official.

Step 4: Tap on the app.

Step 5: Press the "Install" button.

Step 6: Allow a minute for the download to complete.

Step 7: Open the app and sign in.

The average download time is less than two minutes. The app is less than 50 MB in size and can be downloaded easily over mobile data as well.

How to Download DeepSeek AI on iOS

Step 1: On an iPhone, open the App Store.

Step 2: Search for "DeepSeek AI App."

Step 3: Search for the official app by checking reviews, and also check the developer details.

Step 4: Tap "Get."

Step 5: Confirm with Face ID or password.

Step 6: The app will begin downloading.

Step 7: Download the app and create an account.

Apple users give a rating of 4.7 out of 5 to this app. It is updated regularly to maintain speed and smoothness.

Getting Started with the DeepSeek Mobile App

The application is easy to use after downloading. Open the Deepseek mobile app and sign in with an email address. Pick from tools to write, to code, or to search. The app is available in 20+ languages. A lot of users enjoy the voice command function, which makes typing unnecessary.

Advantages of Using DeepSeek AI App

Fast responses

Easy-to-use interface

Works on both Android and iOS

Aids in writing, coding, and daily activities

Saves time

The app is safe and secure and does not retain personal data. The updates are released at regular intervals to enhance performance.

How to Safely Install DeepSeek AI App

To safely install the Deepseek AI app, always download from the official stores.

Avoid third-party links.

Check app reviews.

Check for the verified developer mark.

Be sure to have sufficient storage space on the phone.

Conclusion

DeepSeek AI is trusted by millions of users. The DeepSeek AI App can be downloaded quickly and easily. This app is ready to use in minutes by following a few simple steps. For work or study, this AI assistant app is ideal.

Looking to stay ahead? Download DeepSeek AI and make smart technology help every day.

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