আমরা সফটওয়্যার বিল্ডিং এর সেরা যুগে জীবন বसर করছি। 200 ডলারের সাবস্ক্রিপশন দিয়ে আপনাকে state-of-the-art কোডিং মডেল तक পৌঁছে যায় যা কীভাবে কি বনাম করতে পারে। তাই আমাদের সফটওয়্যার 10 গুণ কেনmuchbetter? এবং আমাদের সফটওয়্যারের більাংশ এখনও 2015-এর মতো দেখে, কিন্তু এখন একটি চ্যাট বক্স তার হোমপেজ হিসেবে? সংক্ষিপ্ত উত্তর হল rationing। এটি শেষ হলো, কিন্তু আমাদের পেছনে পড়েছে।
Claude Code (BC) আগে, সফটওয়্যার বিল্ডিং এর ভৌतिक নিয়ম quite différent ছিল। সফটওয়্যার বিল্ডিং খারাপ এবং চালানোর খরচ কম। কোড লিখা ছিল hired এবং retain expensive engineers এর bottleneck, kteří needed expensive managers để things pe on schedule and expensive product managers để help figure out what to build. The cost of compute, memory, and storage fell every year. The median public SaaS company kept about 75 cents of every revenue dollar as gross profit. Engineering bandwidth was the scarcest resource in all tech companies, and the products we got were the result of rationing.
Claude Code (AC) después, economics that gave us every single piece of software we use today have inverted. Building software has become cheap, with the marginal cost of building a new feature approaching zero, while running it, now that AI sits in the critical path, has become expensive. Any product using LLMs now carries real COGS and real marginal cost per user. Software has flipped from high fixed cost (R&D teams) and ~zero marginal cost (cheap compute) to low fixed cost (leaner R&D teams, more agents) and substantial marginal cost (frontier models). Software now looks more like manufacturing than SaaS.
Our products were shaped by rationing, and the rationing is over. If you're building today, you're no longer bound by yesterday's constraints. A new product or a new feature is cheap and easy to build. Experiments are easy too, because code, however complex, is now disposable. So the software we get from here ought to look entirely different, and be orders of magnitude better. It doesn't, at least not yet.
FAQ Q: Why hasn't software improved 10x despite cheaper AI-powered development?
FAQ A: Because the industry is still operating under outdated 'rationing' mindsets from the pre-AI era, where engineering bandwidth was scarce, leading to imitation over innovation and category-bound thinking.
উৎস: Hacker News · সারাংশ: HeadlinesBriefing