AI coding agents are popping up to become a dime a dozen. Here are the ones that developers say they swear by.
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AI coding agents are popping up to become a dime a dozen. Here are the ones that developers say they swear by.

Welcome back to LinkedIn News Tech Stack, which brings you news, insights and trends involving the founders, investors and companies on the cutting edge of technology, by Tech Editor Tanya Dua. You can check out our previous editions here.

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About a year ago, 英伟达 CEO Jensen Huang declared that generative AI would usher in a “new computing era" where "everyone can be a programmer." He may have been onto something.

By 2025, 80% of the product development life cycle will make use of gen AI code generation, according to market research firm Gartner . And this has not been lost on both big tech companies and startups.?

While GitHub Copilot (owned by LinkedIn parent 微软 ), released in 2021, may have been the first AI coding assistant on the block, a constant cacophony of AI coding assistants have cropped up over the past year.?

谷歌 , Meta , OpenAI and a string of new startups flush with cash like Cognition AI and Magic have all touted or launched their own generative AI coding assistants. And investors like Unusual Ventures ’s Sandhya Hegde and Bessemer Venture Partners ’s Talia Goldberg told LinkedIn News that they are actively investing in the space.

This week, AI startup and GitHub competitor Replit upped the stakes, unveiling a product that allows developers to collaborate on projects in realtime, accompanied by an AI agent that automatically fixes any coding errors.

According to Replit founder and CEO Amjad Masad , these products go beyond merely providing autocomplete natural language-based responses to user prompts like most other AI coding assistants do (and its Ghostwriter Chat product used to do), and tackles other significant roadblocks that developers typically face during the coding process.?

“Our North Star is that everything that's taking away from your creativity and problem-solving as a developer should melt away and should be automated,” he told me in an interview. “What we're doing now is flipping the paradigm and integrating all these tools into specialized AI agents that can act on your code. Because we own the platform end-to-end, we can collect data and look at what users are struggling with and do AI research to build products to help them.”

Replit says it plans to continue to develop AI agents that will make the coding process more seamless? — and claims that its proprietary AI model outperforms GPT-4 in coding benchmarks. Masad also shared that Replit’s platform now boasts 33 million registered users, up from about 20 million a year ago.?

He declined to share any revenue figures, but noted that companies like digital parking marketplace SpotHero are using Replit’s platform to turbocharge projects that earlier would have taken months. GitHub’s Copilot had 100 million users and surpassed $100 million in revenue as of 2023, for comparison.?

How do these AI assistants stack up for developers?

Most modern AI coding assistants are powered by large language models (LLMs) such as the GPT line from OpenAI . They work by analyzing huge swaths of code, identifying patterns and then using those patterns to generate new code or recommend improvements to existing code.?

This is inherently helpful for programmers, who can tap into Copilot or Replit and spend far less time googling or browsing online communities like Stack Overflow for solutions and workarounds to their problems — in theory, getting their work done faster.?

“I know a lot of people use it, and it feels like a force multiplier and makes them be able to do their job better and faster,” Jordan Tigani , a former Google product manager and co-founder and CEO of the startup MotherDuck , told me.

Most tools offer more or less the same level of utility, said software engineer and Google intern Ahsan Baseer ?? .

“The essence underlying all these tools remains constant; it's the execution that sets them apart, often with negligible distinction,” he wrote on LinkedIn.

One obvious distinction is price. Software development has been one of the first commercial use cases for LLMs. So while some of these AI coding assistants like Codeium and Bito are free, others have to be paid for. GitHub, for example, charges individuals $10 per month to use Copilot and $20 per seat per month for an enterprise version.

Further, these coding assistants may have simplified programming for developers, but the ever-expanding plethora of options can be hard to keep up with.

“The proliferation of such tools can lead to choice paralysis,” Dennis Hickox , a freelance full-stack developer, wrote on LinkedIn. “With so many options available, determining which ones are truly effective and suited to specific needs becomes crucial.”

And that is why Replit may have an edge with its new products, particularly when it comes to fixing bugs and errors, said Tigani.

“People are fallible, people write bugs — and so being able to help you fix things as you write them is great,” he said. “It’s really nice to be able to code that way as that just keeps you in the flow; it keeps you from having to jump out of the documentation.”

But AI coding assistant also come with their own set of problems

As more developers take advantage of generative AI to help them write code, they also face a growing number of risks. The first among them is concerns around security, privacy and compliance.

Most AI coding assistants are improperly secured and connect directly to code repositories and integrated development environments (IDEs) where developers store and write code — which gives them real-time access to application source code. This source code can sometimes be proprietary, and may be ingested by the tool and then inadvertently leaked to other developers.

To their credit, some coding assistants like GitHub Copilot and Magic are tackling these concerns and have filters in place that only provide permissible open-source code suggestions. And some like Google, Codeium and Magic also offer developers the option to host their coding assistants securely in virtual private clouds or on-premise for added security.

But a more pressing threat for software developers is what this new technology means for their jobs and livelihoods. Gartner predicts that 80% of custom technology solutions within enterprises will be created by those who are not full-time technical professionals by 2025. So while AI coding assistants may lower the barrier to entry for programming on the one hand, some are concerned that they could very well spell the end of well-paying developer jobs on the other.

Masad was quick to dismiss this concern, arguing that the goal is not to replace developers, but rather enhance their capabilities, allowing them to focus on the more creative aspects of programming versus mundane tasks.?

“I don't see this as a replacement for humans — it just democratizes programming,” he told me. “Look, maybe those high engineering salaries will go down a bit, but more people will be able to participate. And that's generally a good thing.”

See what programmers are saying about AI coding assistants on this LinkedIn post — and join the conversation.

Here’s where we bring you up to speed with the latest advancements from the world of AI.

  • The U.S. has signed a landmark AI agreement with the U.K. The agreement will see the countries formally cooperate on how to test and assess risks from emerging AI models, detailing how they will share technical knowledge, information and talent on AI safety. Both nations launched their own AI Safety Institutes in November 2023. It comes as more U.S. companies are looking to AI to ramp up their productivity, per The New York Times, taking over tasks such as writing emails, answering human resources-related questions and even setting prices.
  • 谷歌 is considering charging customers to use its new AI-powered search tools, the Financial Times reports, citing anonymous sources. It would be the first time Google has ever imposed a fee on a part of its main product — in what some call a sign that the tech giant is scrambling to stay relevant in the face of rising competition. Chatbots from the likes of OpenAI can give fast answers to many questions, possibly negating the need for traditional search engines and the ads they run alongside their results. Google’s main search engine would remain free for all users, and ads would continue to appear even for subscribers. Google's engineers are developing the technology for the paywalled AI-backed search, but executives haven't yet decided whether to move forward with it, one FT source said.
  • 英特尔 's chip-making unit racked up $7 billion in operating losses last year and saw its revenue drop by more than 30%. CEO Pat Gelsinger told investors 2024 would be even worse, saying the business won't break even on an operating basis for another three years or so. Intel is set to play an important role in the expansion of U.S. chipmaking capabilities: The company recently announced plans to spend $100 billion building or expanding foundries in four states, including a planned Ohio site Gelsinger called "the largest AI chip manufacturing site in the world." Gelsinger attributed the 2023 losses to past "bad decisions," including outsourcing about a third of Intel's wafer production to contract manufacturers such as 台积公司 . Intel is hoping to start making chips for other companies, CNBC reports — which earned it almost $20 billion in government funding last month.

  • Over 200 musical artists have signed an open letter to digital platforms, tech companies and AI developers, warning them to "cease the use of AI to infringe upon and devalue the rights of human artists." The letter cites concerns about voice replication, using their work to train AI models and diluting royalty pools, and is more pointed than previous statements, "calling Silicon Valley out specifically," notes Fortune. It comes as the music industry has begun backing bills to protect their work from such threats.?

Here’s a list of other notable AI developments from this week:

Catch up on the tech headlines you may have missed this week and what our members are saying about them on LinkedIn.

Here’s keeping tabs on key executives on the move and other big pivots in the tech industry. Please send me personnel moves within emerging tech.

Thanks for reading. Please share Tech Stack and forward it around if you like it! And if you have any news tips, find me on InMail.



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Jill Stone

Accounts, Project, and Workforce Management Director, Fine Art and Master Decorative Artisan / Instructor

11 个月

Interesting. Excellent predictions. I'll read the book. Thanks!

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Skender Capani

Instructor at Kumon of Bloomfield, NJ

11 个月

Blooming!

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Chet Kapoor

Chairman & CEO at DataStax

11 个月

Thanks for including our news Tanya Dua :)

Manish V.

AI-First Business Solutions | Implement Real-World Artificial Intelligence to Boost Your Ecommerce (Amazon, Shopify), Marketing, Automation, Innovation & Education | Grow Your Online Business with Practical AI – DM Now!

11 个月

Jensen Huang's prediction about generative AI heralding a new era in computing, where programming becomes accessible to all, seems to be unfolding right before our eyes. The integration of AI in the coding process, marks a significant shift in how software is developed and maintained. It's not just about making coding more efficient but also about transforming the very nature of problem-solving in software development. While the debate around AI coding assistants replacing human jobs is valid, it's refreshing to see a perspective that views these tools as enablers rather than replacements. By democratizing programming, we're likely to see a surge in creativity and a broader participation in tech, which could lead to solutions we haven't even imagined yet. As these tools evolve, it will be interesting to see how the developer community adapts and whether the traditional barriers to entry in programming will indeed be lowered. Perhaps, in this future, the next groundbreaking app will be created not in a Silicon Valley tech giant's office but in a teenager's bedroom, using an AI coding assistant. And if nothing else, AI coding assistants are definitely going to make those "it works on my machine" excuses a little harder to justify

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