New AI Tools for Making Software

A2

New AI Tools for Making Software

Introduction

New AI tools help people make their own apps. Big companies are now fighting to sell these tools.

Main Body

Now, people who are not programmers can make apps. They use AI tools from companies like OpenAI and Anthropic. They just tell the AI what they want in simple English. More people are putting apps on the Apple App Store because of this. Big companies are also using AI. Anthropic works with PwC to help businesses. Microsoft is using its own tool called GitHub Copilot. OpenAI and Anthropic give their tools for free to get more business customers. AI is also helping in other areas. OpenAI put coding tools in the ChatGPT app. In law, companies use AI to read long legal papers. This helps them make more money.

Conclusion

Regular people can now make software. At the same time, big companies fight to be the leader in AI.

Learning

⚡️ The 'Action' Connection

Look at how the text describes what people and companies do. To reach A2, you need to connect a Who to a What.

The Pattern: Person/CompanyActionThing

Examples from the text:

  • People → make → apps
  • Companies → use → AI
  • OpenAI → put → tools
  • AI → read → papers

Quick Rule: When talking about things happening now or generally, keep the action word simple.

Words to remember for A2:

  • Make (creating something new)
  • Use (utilizing a tool)
  • Help (making something easier)

Vocabulary Learning

apps
software programs that can be installed on a computer or phone
Example:I downloaded new apps to help me learn English.
companies
groups of people who work together to make or sell things
Example:Many companies use AI tools to improve their products.
help
to make it easier for someone to do something
Example:The AI helps people create apps without coding.
make
to create or build something
Example:You can make your own app with these tools.
free
not costing money
Example:OpenAI offers some tools for free.
read
to look at written words and understand them
Example:The AI can read long legal papers quickly.
money
the value used to buy goods or services
Example:Using AI can help companies earn more money.
law
rules that govern how people behave
Example:Law firms use AI to analyze legal documents.
software
computer programs that perform tasks
Example:Software can be written in many programming languages.
leader
the person or company that is in charge or ahead
Example:Big companies fight to be the leader in AI.
B2

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

🚀 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.

🌉 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.

⛓️ 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 \rightarrow The Bridge: Consequently \rightarrow 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.

🛠️ 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 IdeaB2 Professional PairContext from Text
Strong helpStrengthened partnershipAnthropic + PwC
Big fightFierce competitionAI giants fighting for users
Use in workBusiness adoptionCompanies 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.

Vocabulary Learning

advanced (adj.)
of or using the latest or most sophisticated technology or ideas
Example:The company uses advanced AI models to streamline development.
competition (n.)
the act of competing or the state of being in competition
Example:The competition between AI giants has intensified.
emerged (v.)
to appear or become visible for the first time
Example:A new trend called 'vibe coding' emerged last year.
custom (adj.)
made or done to order for a particular individual or purpose
Example:Users can create custom applications tailored to their needs.
increase (v.)
to become larger or greater in size, number, or amount
Example:There was a 30% increase in app submissions.
difficulty (n.)
the state of being hard to do or understand
Example:The difficulty of creating high-quality designs is a challenge.
high-quality (adj.)
of very good or excellent standard
Example:High-quality visual designs require expert input.
partnership (n.)
a relationship in which two or more parties work together toward a common goal
Example:Anthropic strengthened its partnership with PwC.
integrate (v.)
to combine or incorporate into a whole
Example:They plan to integrate AI into business operations.
adoption (n.)
the act of taking up or using something new
Example:OpenAI has seen rapid adoption among businesses.
mixed (adj.)
consisting of different elements or qualities
Example:Microsoft had a mixed experience with its tools.
experience (n.)
the knowledge or skill gained from doing something
Example:The experience of using these tools varies.
intense (adj.)
very strong, extreme, or concentrated
Example:The competition is intense, with firms battling fiercely.
freebie (n.)
something given for free, especially in a promotional context
Example:The freebie war has attracted many corporate clients.
corporate (adj.)
relating to a large company or group of companies
Example:Corporate clients are drawn to free versions.
mobile (adj.)
suitable for use on a mobile device or that can be moved easily
Example:The mobile app allows users to manage coding agents.
analyze (v.)
to examine in detail in order to understand or interpret
Example:Companies analyze contract data using AI.
contract (n.)
a written or spoken agreement that is intended to be enforceable by law
Example:The AI helps review contract clauses.
significant (adj.)
notable or important in size, amount, or effect
Example:The growth was significant, boosting profits.
profit (n.)
the financial gain made in a transaction or business
Example:Profit margins increased after adopting the new tool.
growth (n.)
the process of increasing in size, number, or importance
Example:The company's growth accelerated after the launch.
ordinary (adj.)
common, usual, or not special
Example:Ordinary people can now create sophisticated software.
fierce (adj.)
intense, aggressive, or determined in a strong way
Example:The competition is fierce among AI giants.
dominate (v.)
to have control or influence over something
Example:They aim to dominate the corporate market.
C2

The Proliferation of Agentic AI Coding Tools and the Emergence of Bespoke Software Ecosystems

Introduction

The integration of advanced large language models into software development has facilitated a transition toward personal, customized application creation and intensified corporate competition between AI providers.

Main Body

The emergence of 'vibe coding'—a paradigm wherein non-professional developers utilize tools such as Anthropic's Claude Code and OpenAI's Codex to generate functional software via natural language—has catalyzed a shift toward personal software. This trend is characterized by the creation of bespoke applications tailored to individual specifications, thereby bypassing the limitations of mass-market software design. Statistical evidence suggests a correlation between these tools and a 30% increase in new Apple App Store submissions during 2025. However, the scalability of this movement is constrained by the absence of professional security guarantees and the inherent difficulty in generating sophisticated user interfaces without human design intervention. Simultaneously, a strategic rapprochement is evident in the corporate sector. Anthropic has expanded its alliance with PwC to embed AI into enterprise operating models, a move that coincides with reports of Anthropic surpassing OpenAI in business adoption rates as of April 2026. Conversely, Microsoft has demonstrated a volatile relationship with these tools; while it initially permitted the use of Claude Code among its staff, it is currently transitioning its 'Experiences + Devices' team toward the GitHub Copilot CLI to consolidate its internal ecosystem and reduce operating expenses. This institutional friction underscores the high stakes of the current 'freebie war,' where OpenAI and Anthropic are offering complimentary usage tiers to secure high-value corporate accounts. Further technological convergence is observed in the mobile and legal domains. OpenAI has integrated Codex into the ChatGPT mobile application, enabling remote management of desktop coding agents. In the legal sector, the application of LLMs to vast corpuses of contractual data has led to significant revenue growth for firms such as Clio, Harvey, and Legora. This trajectory suggests that legal technology may mirror the early success of AI-driven code generation, provided that the tension between model suppliers and downstream application developers is managed.

Conclusion

The current landscape is defined by a dual trajectory: the democratization of software creation for individual use and a rigorous, resource-intensive competition for dominance in the enterprise AI market.

Learning

⚡ The Architecture of 'High-Register Nominalization' & Conceptual Density

To transition from B2 to C2, a student must move beyond describing actions and begin encoding concepts. The provided text is a masterclass in Nominalization—the process of turning verbs or adjectives into nouns to create a denser, more academic prose style.

🔍 The Linguistic Pivot

Compare these two ways of expressing the same idea:

  • B2 (Action-Oriented): AI providers are competing intensely because they want to win over corporations.
  • C2 (Concept-Oriented): ...intensified corporate competition between AI providers.

In the C2 version, the "action" (competing) becomes a "thing" (competition). This allows the writer to attach modifiers (corporate, intensified) directly to the concept, increasing the information density per sentence.

🛠️ Deconstructing the 'C2 Power-Phrases'

The PhraseThe C2 MechanismThe Semantic Effect
"Strategic rapprochement"Abstract Noun PairingTransforms a simple 'agreement' into a formal geopolitical/corporate maneuver.
"Institutional friction"Metaphorical NominalizationReplaces 'they are arguing' with a systemic state of tension.
"Technological convergence"Academic SynthesisCollapses the idea of 'different techs coming together' into a single, immutable event.

🖋️ Advanced Stylistic Nuance: The 'Bespoke' Lexis

Note the use of "Bespoke" and "Paradigm." At C2, vocabulary isn't just about 'difficulty' but about precision.

  • Bespoke: Not just 'customized,' but implying a high-end, tailored quality (originally from tailoring).
  • Paradigm: Not just a 'way' or 'method,' but a fundamental framework of belief or practice.

💡 Mastery Application

To emulate this, avoid starting sentences with people (e.g., "Microsoft decided to..."). Instead, start with the phenomenon (e.g., "Microsoft's transition toward... underscores..."). Shift the focus from the actor to the outcome.

Vocabulary Learning

proliferation (n.)
rapid increase or spread of something
Example:The proliferation of AI coding tools has accelerated the pace of software development.
agentic (adj.)
having the capacity to act independently
Example:Agentic AI systems can make decisions without human intervention.
bespoke (adj.)
custom‑made to suit individual specifications
Example:Bespoke applications allow companies to tailor features to their exact needs.
ecosystem (n.)
a complex network of interconnected components
Example:The software ecosystem includes developers, platforms, and users.
facilitated (v.)
made an action easier or smoother
Example:The new framework facilitated rapid prototyping for developers.
intensified (adj.)
increased in strength or degree
Example:Intensified competition has driven firms to innovate faster.
paradigm (n.)
a typical example or pattern
Example:The shift toward natural‑language programming represents a new paradigm.
catalyzed (v.)
accelerated the development or occurrence of something
Example:The partnership catalyzed the adoption of AI across industries.
characterized (adj.)
described as having particular qualities
Example:The trend is characterized by rapid iteration and user feedback.
bypassing (v.)
avoiding or circumventing
Example:Developers are bypassing traditional coding by using AI tools.
mass‑market (adj.)
designed for the general public
Example:Mass‑market software often sacrifices customization for scalability.
correlation (n.)
a mutual relationship or connection
Example:There is a strong correlation between AI usage and productivity gains.
scalability (n.)
the ability to handle growth
Example:Scalability is a key concern when deploying cloud services.
constrained (adj.)
limited or restricted
Example:The project was constrained by budgetary limitations.
inherent (adj.)
existing as a natural part
Example:The inherent complexity of the system requires specialized knowledge.
sophisticated (adj.)
complex and advanced
Example:The interface offers sophisticated analytics tools.
strategic (adj.)
relating to long‑term planning
Example:A strategic alliance can open new market opportunities.
rapprochement (n.)
improvement in relations
Example:The recent rapprochement between the two firms eased tensions.
institutional friction (n.)
resistance within an organization
Example:Institutional friction often slows the adoption of new technologies.
high stakes (n.)
situations with significant consequences
Example:The merger was a high‑stakes decision for both companies.
freebie war (n.)
competition over offering free services
Example:The freebie war intensified as companies offered free trials.
technological convergence (n.)
merging of different technologies
Example:Technological convergence is driving innovations in autonomous vehicles.
remote management (n.)
controlling operations from a distance
Example:Remote management allows administrators to oversee servers worldwide.
contractual data (n.)
data related to contracts
Example:Analyzing contractual data can reveal industry trends.
revenue growth (n.)
increase in earnings
Example:Revenue growth surged after the new product launch.
tension (n.)
strain or conflict
Example:Tension between suppliers and developers can stall projects.
downstream (adj.)
following in a process
Example:Downstream applications rely on the core platform.
resource‑intensive (adj.)
requiring many resources
Example:Training large models is resource‑intensive.
democratization (n.)
making something accessible to all
Example:Democratization of AI tools empowers hobbyists.
dominance (n.)
state of superiority
Example:The company's dominance in the market is unchallenged.