Close Menu
KumbhCoinorg
    What's Hot

    Course Evaluation For Instructional Designers

    August 11, 2026

    On AI Coding and Its Discontents

    August 11, 2026

    Rugrats, Doug, SpongeBob: Nickelodeon Secrets Revealed

    August 11, 2026
    Facebook X (Twitter) Instagram
    Trending
    • Course Evaluation For Instructional Designers
    • On AI Coding and Its Discontents
    • Rugrats, Doug, SpongeBob: Nickelodeon Secrets Revealed
    • A Comedy Legacy: Broken Lizard on “Super Troopers 3”
    • Tips Membangun Branding » Dashofinsight
    • 11 August, 2026 – Alpha Ideas
    • Ajinkya Rahane recalls Yashasvi Jaiswal’s heated exchange in 2022 Duleep Trophy final
    • Mickey van de Ven signs new five-year contract
    Facebook X (Twitter) Instagram
    KumbhCoinorg
    Tuesday, August 11
    • Home
    • Crypto News
      • Bitcoin & Altcoins
      • Blockchain Trends
      • Forex News
    • Kumbh Mela
    • Entertainment
      • Celebrity Gossip
      • Movie & TV Reviews
      • Music Industry News
    • Market News
      • Global Economy Insights
      • Real Estate Trends
      • Stock Market Updates
    • Education
      • Career Development
      • Online Learning
      • Study Tips
    • Airdrop News
      • Ico News
    • Sports
      • Cricket
      • Football
      • hockey
    KumbhCoinorg
    Home»Education»Study Tips»On AI Coding and Its Discontents
    Study Tips

    On AI Coding and Its Discontents

    kumbhorgBy kumbhorgAugust 11, 2026No Comments5 Mins Read
    Facebook Twitter Pinterest LinkedIn Tumblr Email
    On AI Coding and Its Discontents
    Share
    Facebook Twitter LinkedIn Pinterest Email Copy Link

    Back in January, I received a note from a senior software engineer in Silicon Valley. He described himself as an AI skeptic who became converted after trying Claude Code for the first time. “Overnight, it changed the way I do my job,” he wrote. “It’s really, really good.”

    As he explained, he no longer used a standard development environment. Instead, he “exclusively uses Claude Code” to get the job done, interacting with the tool in a terminal window and allowing it to program on his behalf.

    “If I had to guess,” he concluded, “I’d say a task that would have taken me a week now takes me 2 days.”

    This past winter, when I surveyed more than 300 software developers to learn how AI was transforming their jobs, the majority told a similar tale of shifting from writing their own code to instructing AI agents. The speed with which this new tool became ubiquitous in this industry was stunning.

    This story matters for the rest of us because AI coding tools have emerged as the prime example of the power of AI—the first step of many more soon to come on this technology’s disruptive march through our work and our lives.

    But what if the reality here is more complicated?

    Last week, I received a new message from that same senior engineer who wanted to share an alarming addendum to his tale…

    “I’m writing to give you an update on my current thinking about the state of AI in software engineering,” he began, “because my attitude has shifted quite a bit.”

    He told me that features he generated using Claude Code ended up crashing their product on two different occasions. His boss told him that if it happened one more time, he’d be fired. “I’ve never had quality issues like this before in my career.”

    The problem is that code produced by an AI agent looks reasonable, but can contain ‘hard-to-spot bugs’ that end up causing major problems. As a result, you should carefully review your agent’s output, but this is difficult. As the engineer told me, it’s “famously hard” to understand code you didn’t write yourself, so this extra step becomes “easy to just blow it off (especially when we are all trying to ‘10x’ our velocity).” Soon, systems start to break.

    “The coding harnesses are useful and make life as a developer easier,” he summarized, “but they also encourage laziness.”

    In response to these issues, this disillusioned engineer has returned to largely programming by hand. Here’s how he explained his current philosophy:

    “Writing your own code, slowly but surely, and using LLMs for narrow or particularly annoying tasks (say like writing tests or throw-away scripts), is the best way to produce the highest quality code, since it’s the only way to properly understand it.”

    Here’s the thing: he’s not alone.

    I increasingly hear similar rumbles from many other people in the software industry (see, for example, ​this podcast episode​ from May). Tools like Claude Code can feel like magic, but the strategy of outsourcing all code production to AI isn’t currently sustainable.

    In addition to reliability issues, it often engenders a mind-numbing workflow and an environment where junior developers will never acquire the expertise to become senior developers capable of designing complex systems.

    Meanwhile, as the frontier labs reduce their subsidies on underlying computing costs, the old habit of burning through as many tokens as possible in search of workable results is proving prohibitively expensive.

    From the outside, software development seemed like the poster child for AI’s potential. On the inside, it’s a mess.

    This doesn’t mean that coders will abandon AI; its facility with programming languages is too valuable to ignore. But I think there’s a lot more work to be done trying to figure out how to integrate AI into this industry in a way that actually works.

    This is a key point.

    This last year has been exhausting. The PR departments of the frontier labs have done an excellent job convincing us that AI developments are occurring at an astounding, world-changing rate. But if you zoom out, it becomes clear that almost every “breakthrough” since last summer has concerned the narrow domains of computer code and math, which are defined by highly structured languages and come accompanied by massive amounts of specialized training data.

    And yet, even in this best-case-scenario setting for AI, we’re still struggling to figure out how to actually use these tools in a way that makes sense in the long run.

    This doesn’t mean that AI doesn’t work or is useless. But it does emphasize an important truth: AI is not a magic “infinity machine” that can solve all our problems, and ultimately deliver us a sense of meaning in a cold, confusing world. It’s a normal technology, and perhaps it’s time we start talking about it that way.

    Coding Discontents
    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleRugrats, Doug, SpongeBob: Nickelodeon Secrets Revealed
    Next Article Course Evaluation For Instructional Designers
    kumbhorg
    • Website
    • Tumblr

    Related Posts

    Study Tips

    Why Everything Falls Apart When School Gets Hard

    By kumbhorgAugust 10, 2026
    Study Tips

    Did OpenAI’s New Model “Go Rogue”?

    By kumbhorgJuly 28, 2026
    Study Tips

    14 Ideas for Using a Blank Notebook

    By kumbhorgJuly 15, 2026
    Study Tips

    Why Reading Matters – Cal Newport

    By kumbhorgJuly 13, 2026
    Study Tips

    Beware of Productivity Paradoxes – Cal Newport

    By kumbhorgJune 29, 2026
    Study Tips

    Dear AI Companies: Stop the “Doom Trolling”

    By kumbhorgJune 22, 2026
    Add A Comment

    Comments are closed.

    Don't Miss

    Course Evaluation For Instructional Designers

    By kumbhorgAugust 11, 2026

    What Is Course Evaluation? Course evaluation means carefully measuring how well a learning program achieves…

    On AI Coding and Its Discontents

    August 11, 2026

    Rugrats, Doug, SpongeBob: Nickelodeon Secrets Revealed

    August 11, 2026

    A Comedy Legacy: Broken Lizard on “Super Troopers 3”

    August 11, 2026
    Top Posts

    Satwik-Chirag storm into China Masters final with straight-game win over Malaysia | Badminton News

    September 21, 2025176 Views

    SaucerSwap SAUCE Crypto Breaks Key Resistance Amid Nvidia-Hedera Deal

    July 15, 202548 Views

    Unlocking Your Potential with Mubite: The Future of Crypto Prop Trading

    September 17, 202533 Views

    Stablecoins 2025 Exchange Reserves: Insights into DeFi Trends

    September 8, 202533 Views
    Stay In Touch
    • Facebook
    • Twitter
    • Pinterest
    • Instagram
    • YouTube
    • Vimeo
    About Us

    Welcome to KumbhCoin!
    At KumbhCoin, we strive to create a unique blend of cultural and technological news for a diverse audience. Our platform bridges the spiritual significance of the Kumbh Mela with the dynamic world of cryptocurrency and general news.

    Facebook X (Twitter) Pinterest WhatsApp
    Our Picks

    Course Evaluation For Instructional Designers

    August 11, 2026

    On AI Coding and Its Discontents

    August 11, 2026

    Rugrats, Doug, SpongeBob: Nickelodeon Secrets Revealed

    August 11, 2026
    Most Popular

    Reeves optimistic despite surprise rise in UK borrowing

    January 22, 20250 Views

    Barnes & Noble stock soars 20% as it explores a sale Barnes & Noble stock soars 20% as it explores a sale

    January 22, 20250 Views

    Sun publisher to pay ‘substantial’ damages in settlement

    January 22, 20250 Views
    • Terms and Conditions
    • Privacy Policy
    • Contact Us
    • About Us
    © 2026 Kumbhcoin. Designed by Webwizards7.

    Type above and press Enter to search. Press Esc to cancel.