The Rise of AI Coding Tools and the Growth of Custom Software
Introduction
The use of advanced AI models in software development has made it easier for people to create their own custom applications. At the same time, this has increased the competition between the major AI companies.
Main Body
A new trend called 'vibe coding' has emerged, where people who are not professional developers use tools like Anthropic's Claude Code and OpenAI's Codex to create software using simple language. This allows individuals to build custom apps that meet their specific needs, rather than relying on general software. Consequently, there was a 30% increase in new apps submitted to the Apple App Store in 2025. However, this movement faces challenges, such as a lack of professional security and the difficulty of creating high-quality visual designs without a human expert. Meanwhile, big companies are fighting for control of the market. Anthropic has strengthened its partnership with PwC to integrate AI into business operations, and reports suggest that Anthropic has overtaken OpenAI in business adoption as of April 2026. In contrast, Microsoft has had a mixed experience; although it first allowed staff to use Claude Code, it is now moving its teams toward GitHub Copilot CLI to save costs and keep everything within its own system. This tension shows how intense the 'freebie war' is, as OpenAI and Anthropic offer free versions of their tools to attract large corporate clients. Finally, AI is expanding into other areas like mobile apps and law. OpenAI has added Codex to the ChatGPT mobile app, allowing users to manage coding agents from their phones. In the legal field, companies like Clio and Harvey are using AI to analyze large amounts of contract data, leading to significant profit growth. This suggests that legal technology will follow the same successful path as AI coding, as long as the companies providing the AI and the developers using it can work together effectively.
Conclusion
The current situation is defined by two main trends: the ability for ordinary people to create their own software and a fierce competition between AI giants to dominate the corporate market.
Learning
π From 'Simple' to 'Sophisticated'
An A2 student describes the world using basic words like but, and, or so. To reach B2, you need to use Logical Connectors. These are words that act as bridges, showing exactly how two ideas relate to each other.
π The "Contrast" Bridge
In the text, we see a shift from simple opposition to professional contrast:
- A2 Style: "Microsoft used Claude, but now they use Copilot."
- B2 Style: "In contrast, Microsoft... is now moving its teams toward GitHub Copilot."
Why this matters: In contrast signals to the reader that you are comparing two different strategies, not just stating a random change. Use this at the start of a sentence to sound more academic.
βοΈ The "Result" Bridge
Instead of always using so, look at how the article links a cause to an effect:
- The Trigger: People use simple language to build apps The Bridge: Consequently The Result: A 30% increase in App Store submissions.
Pro Tip: Consequently is the "grown-up" version of so. It suggests a logical, inevitable result.
π οΈ Sophisticated Word Pairing (Collocations)
B2 fluency isn't just about hard words; it's about which words 'like' to hang out together. Notice these pairs from the text:
| A2 Basic Idea | B2 Professional Pair | Context from Text |
|---|---|---|
| Strong help | Strengthened partnership | Anthropic + PwC |
| Big fight | Fierce competition | AI giants fighting for users |
| Use in work | Business adoption | Companies starting to use AI |
The Challenge: Next time you want to say "big competition," try "fierce competition." It changes your tone from a student to a professional.