AI's Rapid Advancement in Coding: Reshaping the Future of Software Development

To Code or Not to Code

One-quarter of the YC founders admitted that over "95% of their codebase was AI-generated". Anthropic chief Dario Amodei recently said that AI will handle 90% of coding in less than six months. If you're a developer, proclamations such as these might leave you rattled and pondering over what the next few years will mean for your career and skills. Amodei has a point. With AI-native tools like Cursor, Windsurf, and GitHub Copilot, coding has become easier than ever for developers. In a recent Y Combinator podcast, partner Jared Friedman said that one-quarter of the YC founders admitted that over "95% of their codebase was AI-generated". He pointed out that these were highly skilled founders who, just a year ago, would have built their products entirely on their own -- but now, AI does the heavy lifting. Dianu Hu, partner at YC, added that, just as Gen Z was born into the internet era, the current generation will grow up with AI tools. "They'll skip the classical training of a software engineer and just do it with the vibes, but they're actually very technically minded. I mean, they have degrees in math and physics," she said. However, as a pitfall, young developers are not exactly aware of how their code works and tend to go blank when asked how their code works. "Junior devs these days have it easy. They just go to chat.com and copy-paste whatever errors they see. Even lazier ones don't make the 30-second effort of toggling to a browser window. They just use a tool that does it all at one place," wrote Namanyay Goel, founder of Giga AI, in a blog post. He added that young developers should approach AI with a learning mindset. "Don't just accept its answers -- question them. Ask why. It may take longer, but that's exactly the point," he said. Interestingly, in a surprising turn of events, recently, Cursor refused to generate code and instead encouraged the developer to explore learning opportunities. Stemming from all the AI-assisted coding is the new fad of 'vibe coding, ' which many developers have taken to lately. The term was coined by OpenAI co-founder Andrej Karpathy. Vibe coding involves using AI tools to handle the majority of coding tasks, allowing developers to focus on high-level intent rather than low-level implementation. Developers describe their desired outcomes in plain language, while AI generates, refines, and tests the corresponding code autonomously. InMobi chief Naveen Tiwari recently said that the company is on track to achieve 80% automation in software coding by year-end. "We have already achieved 50% [automation in software coding]. The codes created by the machine are faster and better, and they fix themselves." Shipping code has never been easier for developers. "Platforms like GitHub Copilot, Microsoft Copilot and Azure AI services allow teams to focus on critical thinking and creative aspects of their projects, reducing the time spent on mundane tasks," Santhosh HS, AI engineer at TCS told AIM. AIM spoke to a few companies and startups and realised that many of them had already adopted AI tools. "We've been using Cursor in our organisation for a while now, and it's definitely boosted productivity," said Abhishek Upperwal, founder of Soket AI. However, he added that blindly relying on these tools can waste a lot of time since they're prone to errors. "They work really well for common tasks like web development but tend to fall short with more complex challenges like building or optimising CUDA kernels in Triton -- mainly because the AI hasn't been trained on enough examples in those areas." AIM got in touch with Himanshu Gahlot, VP of engineering, and Saravana Kumar, head of machine learning at Apollo.io, who were happy using Cursor. "We have a 90% plus satisfaction rate. Almost every engineer said positive things about being able to understand the whole code base and generate the right things," Gahlot said. "It does come with a caveat. You will hear many people hyping a lot of these tools all the time, saying that the gain in productivity is 25x, 50x, and so on. But it's very, very nuanced," he cautioned. IBM chief Arvind Krishna isn't convinced that AI will take over software coding anytime soon. He dismissed Amodei's claim that AI could possibly generate 90% of the code within the next three to six months. "I think the number is going to be more like 20-30% [of the code getting written by AI] -- not 90%," Krishna said. "Are there some really simple use cases? Yes, but there are equally complicated ones where it's going to be zero." Sharing a similar perspective, Linas Beliūnas, director of revenue at Zero Hash, pointed out that AI struggles with complex code. "It excels at routine tasks but stumbles upon creativity, nuance, and context-specific solutions," he said, adding that code isn't just writing. "It's problem-solving, ethics, security, compliance, and creative design -- all of which are deeply human." "Language models can help with the first 70% but will not be able to help with the last 30%. No matter how many times you explain your problem, how many times you ask it to change non-working code, or how long you finetune it with reinforcement learning, it will not write brand new business- or app-specific code," said Andriy Burkov, machine learning lead at TalentNeuron. Some believe that too much use of AI coding tools can increase technical debt. "AI accelerates code generation, but without strong governance, organisations will drown in unmaintainable, poorly structured, and undocumented code. Fixing issues later will be exponentially harder," said Pradeep Sanyal, AI and data leader at a global tech consulting company. Karan MV, director of international relations at GitHub, told AIM that while automated processes such as testing, monitoring, and alerting can help manage development, human intervention is still crucial at various stages in the software development lifecycle, even when using AI tools. While AI is transforming coding at an unprecedented pace, human judgment remains irreplaceable. The future of software development won't be about choosing between AI and human expertise -- but about finding the right balance between the two.

'AI Will Be Writing 90% of Code in 3-6 Months,' Says Anthropic's Dario Amodei

The CEO of Anthropic suggests that AI could write essentially all of the code in 12 months. Dario Amodei, CEO of Anthropic, while speaking at a forum of The Council on Foreign Relations (CFR), said that he believes 90% of coding will be done by AI in less than 6 months. When Mike Froman, the president of CFR, asked about the best case scenarios AI will bring us, Amodei stated, "If I look at coding, programming, which is one area where AI is making the most progress. We are not far from the world where, in 3-6 months, AI is writing 90% of the code." He added that in 12 months, AI might be writing essentially all of the code. While that sounds alarming, he added that the programmer still needs to specify the conditions of what one wants to do, the idea of the app one wants to make, and the design decisions. While he believes that human programmers' intervention will still be needed to decide granular aspects of coding, AI will eventually do everything humans can. Amodei expressed his thoughts, encouraging one to look at 'usefulness' and 'uselessness' in a different way than before. He noted that AI making everyone useless is an annihilistic thought and emphasised that he is optimistic about building a world where human life is meaningful while taking the help of AI. Froman also asked Amodei if DeepSeek was a 'Sputnik moment'. Amodei commented that DeepSeek was nothing unusual and another data point on the cost reduction curve. A future where everyone would be a coder is getting closer with each passing year - or month, maybe. In a podcast with Lex Fridman, when asked how much programming people would do in the next 5-10 years, OpenAI CEO Sam Altman said, "A lot, but I think it'll be in a very different shape." Altman said that many have already started programming entirely in natural language. "No one programs by writing code...some people do. No one programs the pun cards anymore," he quipped, adding that it would change the nature and the skillset, not so much the predisposition for who we call programmers in the future.

Tech Leaders Sound a Warning for Coders: AI Is Coming for Their Jobs

But that may not be the case for software developers. A new report from Fortune highlights words from Anthropic, IBM, and Meta's leaders that suggest AI really is coming to take their jobs away -- and soon. This may be something your company should take note of, even if your business isn't directly related to software. Anthropic's CEO Dario Amodei spoke on this topic at the Council on Foreign Relations this week, Fortune reported. Amodei was bold: In just 12 months, he said "we may be in a world where AI is writing essentially all of the code." Even more aggressively, he suggested that in just three to six months -- essentially by the end of this summer -- AI will be crafting 90 percent of all the new code written. Some developers will be needed, he said, at least for a while because they'll have to steer the AI through the process of getting the code just right, making it fit for the particular purpose it's needed for, such as an app, or a piece of software to make a robot work. But eventually that role may go to another AI. Meanwhile, IBM's CEO Arvind Krishna spoke at SXSW this week, and noted he disagreed with Amodei to some extent. Fortune notes Krishna said he thinks "the number is going to be more like 20-30 percent of the code could get written by AI -- not 90 percent." But he did concede that there were simple use cases where having an AI produce computer code automatically just makes sense. Not in all cases though: Krishna said programmers would still be needed to create code that AIs just can't achieve, or where it doesn't make sense to use an AI tool. He felt that what would happen is that AI will take on the tedious bits of the job of coding, freeing up programmers to be more productive.

'I Do Have a Fair Amount of Concern.' The CEO of $61 Billion Anthropic Says AI Will Take Over a Crucial Part of Software Engineers' Jobs Within a Year

The CEO of a leading AI startup says that AI could soon take over a key component of software engineering jobs: coding. Anthropic CEO Dario Amodei said earlier this week that AI will write 90% of the code for software engineers within the next three to six months and every line of code within the next year. "On the jobs side of this, I do have a fair amount of concern," Amodei said at a Council of Foreign Relations event on Monday, per Business Insider. "In 12 months, we may be in a world where AI is writing essentially all of the code." How much of a software engineer's job is coding? It varies based on the role, but some software developers on Reddit estimate that about half of their job or more consists of writing code. Related: An OpenAI Rival Developed a Model That Appears to Have 'Metacognition,' Something Never Seen Before Publicly Amodei reassured listeners that software developers would still have jobs -- for now. Humans are needed now to give AI the design features and limitations it needs to write code, he said, but over time, AI will be able to take over those tasks, too. Eventually, humanity will reach a moment where AI can do everything humans can do, Amodei predicted. "I think that will happen in every industry," he stated. Amodei's comments align with a statement made by Meta CEO Mark Zuckerberg earlier this year. Zuckerberg told Joe Rogan in an interview in January that Meta and other big tech companies were working on developing AI to function as midlevel engineers, write code and eventually replace some human engineers. The median yearly pay at Meta last year was $379,000. Meta plans to invest $60 to $65 billion in AI this year, an increase from $38 to $40 billion in 2024. In the interview, Zuckerberg disclosed that Meta is racing towards the point where AI writes "a lot" of the code within its apps. Related: Meta Is Building AI That Can Write Code Like a Mid-Level Engineer, According to Mark Zuckerberg Anthropic raised $3.5 billion earlier this month, valuing the company at $61.5 billion. It's backed by Google, which has a 14% stake, and Amazon. Amodei co-founded the AI startup in 2021 after leaving ChatGPT-maker OpenAI to focus on developing AI with a greater emphasis on safety. He started Anthropic with six other former OpenAI employees. The startup is known for its AI chatbot Claude, which has quickly become the chatbot most chosen by AI insiders for everything from health coaching to therapy, per a December New York Times report.

OpenAI CPO Kevin Weil writes obituary for techies, predicts AI will takeover human coders by end of this year?

Kevin Weil from OpenAI predicts AI will surpass human coders by the end of this year, becoming better than humans at competitive coding. Despite coding being automated, human expertise will remain crucial for problem-solving and managing AI-driven tasks, making software creation more accessible.Kevin Weil, OpenAI's Chief Product Officer, believes that by the end of this year, AI will surpass human coders, marking a historic moment in tech. In an interview on Overpowered with Varun Mayya and Tanmay Bhat that aired on Sunday, Weil responded to Anthropic's prediction that coding automation would take until 2027 to become a reality, confidently stating, ""At the rate we're going, I would be surprised if it's 2027. I think it's going to be sooner." Reflecting on the rapid development of AI, Weil explained how OpenAI's models have significantly improved over time. He shared how GPT-01, in its early stages, was already performing at the level of the top 2-3% of competitive programmers globally. Fast forward to GPT-03, and it now ranks as the 175th best coder in the world. And, according to Weil, the next generation of models will be even more impressive. "GPT-01 preview was, I think, the best like the millionth best competitive programmer in the world," he said. "This doesn't sound great, but there are around 30-40 million programmers in the world. So you're like top 2-3%." "GPT-03, which is coming soon, according to the same benchmarks, is the 175th best competitive coder in the world. And as we are starting to train the successor models, they're already better," the AI expert added. For Weil, 2025 marks the year AI takes over competitive coding for good. "I think this is the year that, at least by competitive coding benchmarks, AI becomes better than humans at competitive coding forever. In the same way that computers passed humans at multiplying 70 years ago and AI passed humans at chess 15 years ago. This is the year that AI gets better than humans at programming forever... and there's no going back."," he said while speaking to Bhatt and Mayya. While AI will take the lead in coding, Weil reassures that human input will still be essential in terms of their expertise. "Understanding what problems to solve, where to focus your work, where the leverage is -- those kinds of things are still going to matter," he said. While the AI will handle much of the heavy lifting, humans will focus on high-level problem-solving and managing AI-driven work. The result? A world where software creation becomes more accessible to everyone. "You're going to be using it day in and day out to augment yourself in your job," he predicted. "People are going to increasingly be sort of managers of these AI employees that will do a lot of the basic work for them."

Anthropic CEO "90% of Code Will be Written by AI in 6 months" : Vibe Coding

Imagine a world where writing code is no longer the exclusive domain of seasoned programmers, where anyone with a creative idea can bring it to life simply by describing it in plain language. It might sound like science fiction, but according to Anthropic CEO Dario Amodei, this AI coding future is just around the corner. In fact, he predicts that within the next six months, artificial intelligence (AI) could be responsible for generating up to 90% of all code. This seismic shift isn't just about speed or efficiency -- it's about redefining who gets to participate in the creation of technology and how we think about programming altogether. But with such a rapid transformation on the horizon, it's natural to feel a mix of excitement and apprehension. What does it mean for professional developers? Will AI truly make coding accessible to everyone, or will it introduce new challenges we're not yet prepared to face? While the possibilities are thrilling, the road ahead is far from straightforward. In this overview, Matthew Berman explores how AI is reshaping the world of software development, the opportunities it unlocks, and the hurdles we'll need to overcome to ensure this technological leap benefits everyone. AI has demonstrated its ability to write code with remarkable speed and accuracy, transforming the way software is developed. Tools like GitHub Copilot and OpenAI's Codex are at the forefront of this transformation, offering capabilities that streamline workflows and reduce the burden of repetitive tasks. These tools can generate boilerplate code, solve complex algorithms, and even assist in debugging. This widespread access of coding is broadening participation in software creation, allowing individuals from diverse backgrounds to contribute to technological innovation. By lowering the barriers to entry, AI is fostering a more inclusive environment for creativity and problem-solving. One of the most intriguing advancements in AI-driven programming is the concept of "vibe coding." This approach enables users to describe their desired outcomes in natural language, and the AI generates the corresponding software. By eliminating the need for traditional coding skills, vibe coding enables individuals from non-technical fields to actively participate in software development. For example, a graphic designer could use vibe coding to create a custom application by simply outlining its functionality in plain language. The AI handles the technical implementation, effectively bridging the gap between creative vision and technological execution. This capability not only accelerates development but also encourages interdisciplinary collaboration, where experts from various domains can contribute their unique perspectives to software projects. Stay informed about the latest in AI coding by exploring our other resources and articles. AI's ability to iterate quickly is a cornerstone of its growing dominance in software development. Unlike human developers, AI can analyze vast datasets, test multiple solutions, and refine its outputs in a fraction of the time. This capability is particularly valuable for large-scale projects where time and resources are constrained. However, the speed of AI iteration comes with its own set of challenges. Managing large and complex codebases can strain AI systems, which may struggle to maintain consistency and coherence across extensive projects. Additionally, while AI excels at generating functional code, it often requires human oversight to ensure quality and adherence to best practices. Developers play a critical role in refining AI outputs, addressing potential errors, and making sure that the final product meets the required standards. Despite its impressive capabilities, AI-generated code is not without flaws. Large codebases, in particular, pose significant challenges for AI systems, which can produce inconsistencies or fail to integrate seamlessly across different components. Moreover, AI-generated code is susceptible to: Human developers remain indispensable in addressing these issues. For instance, while an AI might produce a functional application, a developer ensures it aligns with quality standards, avoids critical errors, and adheres to ethical guidelines. This collaborative approach between humans and AI ensures that the benefits of automation are maximized while minimizing potential risks. As AI continues to evolve, it may move beyond writing code to designing entirely new programming languages. These AI-created languages could prioritize machine efficiency over human readability, potentially making them incomprehensible to traditional programmers. While this development could unlock unprecedented levels of innovation, it also raises important questions about the future role of human developers. How will programmers adapt to a world where machines design the tools they use? This shift could redefine the relationship between humans and technology, emphasizing the need for new skills and approaches to software development. It also highlights the importance of maintaining a balance between automation and human oversight to ensure that technological advancements remain aligned with human values and needs. The rise of AI in software development reflects a broader transformation in how society approaches thought work. By automating routine and complex tasks, AI challenges traditional notions of productivity, creativity, and the value of human labor. This shift has far-reaching implications for both individuals and organizations. As AI continues to reshape the workforce, it prompts a reevaluation of how we define work and its role in society. By embracing these changes thoughtfully, individuals and organizations can harness the potential of AI to drive progress while addressing its challenges responsibly. While AI coding is poised to play an increasingly central role in software development, human oversight remains essential. Developers must guide AI systems, validate their outputs, and address any shortcomings to ensure that AI-driven solutions are both effective and ethical. For example, human intervention is crucial to prevent AI-generated software from perpetuating biases or violating privacy standards. By working alongside AI, developers can use its strengths while mitigating its limitations. This collaborative approach not only enhances the quality of software but also ensures that technological advancements align with societal values. As AI continues to evolve, the partnership between humans and machines will be key to unlocking its full potential and shaping the future of programming.

The CEO of Anthropic claims AI will write 90% of code within just 6 months - Softonic

The rapid advancement of artificial intelligence is reshaping industries, and software engineering is no exception. According to Anthropic CEO Dario Amodei, AI is progressing so quickly that in just 6 months, it will be capable of writing 90% of all code. This prediction raises significant questions about the future role of human developers in the field. Speaking about the future of coding, Amodei highlighted that AI is evolving at an unprecedented pace, particularly in software development. He stated that within a year, AI could be responsible for nearly all coding tasks, leaving software engineers in a position where their primary role would be reviewing and refining AI-generated code. While this development is impressive, it has sparked debate among professionals. Some experts argue that AI lacks the creativity and problem-solving abilities that human engineers bring to the table, especially when dealing with complex software architectures. However, others see this shift as an opportunity for developers to transition into more strategic and supervisory roles. The automation of coding tasks raises concerns about job security for software engineers. While some executives believe that AI will replace traditional coding roles, others argue that new opportunities will emerge. According to Microsoft's latest Work Trend Index, companies are actively seeking employees with AI expertise, leading to a massive increase in AI-related skills being added to LinkedIn profiles. Ultimately, the future of software development may not be about eliminating jobs but redefining them. As AI takes over routine coding tasks, developers may shift toward higher-level responsibilities, such as AI oversight, system design, and ethical programming.