AI Isn't Just Writing Code Anymore - It's Building Apps (From Your Phone!)

Ever wished you could build an app with just a few text messages? Sounds like science fiction, right? But the reality of AI-powered coding is catching up fast. We're not just talking about autocomplete anymore. We're talking about anyone, even non-coders, potentially turning an idea into a working, hosted application with the help of AI.

The recent buzz around DeepSeek, Stargate, AGI, ASI, ASR...... and ROI in the tech world is understandable, but one area is proving its worth right now: Agentic Coding. It's moving beyond simply augmenting AI. Now, it's about AI augmenting us.

Without a doubt, the fastest area of adoption has been coding. Hundreds of millions of dollars in revenue have materialized overnight over the last three months. Anthropic’s revenue has grown from roughly $100 million to nearly $1 billion over the past 12 months. While coding isn’t the majority of that, it’s the largest single area. - Dario Amodei , Anthropic CEO

The numbers don't lie. Many companies—Cursor, Codium, GitHub Copilot (owned by Microsoft)—have embraced this. In fact, Microsoft was willing to use Amazon’s cloud just to access Anthropic model.

In essence, Dario's take on coding and its adoption is highly optimistic and sees it as a leading example of the rapid and impactful integration of AI into professional domains. He views coding as the frontrunner in demonstrating the commercial viability and transformative potential of AI technology.

Replit's recent mobile app update is a game-changer. Imagine this:

• Texting an AI "Agent" like a friend. You describe what you want your app to do.
• The AI builds it – full-stack. Databases, user authentication, hosting... it's all handled.
• You deploy it directly from your phone. No laptop needed!
• Share and remix apps. Right from the Replit platform.

It took hardly five minutes for me to build on my phone.

But... It's Not Always Magic (Yet):

While AI coding tools are fantastic for quick prototypes and boosting productivity, tackling complex projects or existing codebases can be trickier. My own experiments (building several apps in the past few months, including TheCurioDaily.com and projects on my GitHub) have shown me both the power and the pitfalls. I've been experimenting with various AI coding platforms - from GitHub Copilot to Cursor, Replit, and Windsurf. But it hasn't all been smooth sailing. These tools sometimes led me down unexpected paths, generating unnecessary code or extra files. That's when I realized something crucial: we're approaching AI coding assistants wrong.

The key takeaway? Treat AI like a teammate, not a code-generating miracle worker. Just like you wouldn't give a junior developer a one-line instruction and expect perfection, you need to collaborate effectively with AI.

The Four-Phase Workflow for AI Collaboration:

To get the best results, structured approach works wonders:

• Problem Statement & Requirements: Talk to your AI. Discuss the problem, constraints, and acceptance criteria. Get on the same page before any code is written.
• Design Documentation: Create a clear design document. Review it with your AI coding tool (like Cursor). Break down the implementation into manageable phases.
• Phased Implementation: Build your solution step-by-step, always referring back to the design. Validate regularly against your requirements.
• Continuous Testing: Test thoroughly at each phase. Use a mix of automated and manual testing to ensure quality and compatibility.

Embracing the Future: What Developers Can Do Today?To stay ahead in this AI-powered era of software development, developers should:

1. Experiment with AI coding tools?– Explore different platforms to find the best fit for your workflow.
2. Adopt a collaborative mindset?– Treat AI assistants as partners, providing them with clear instructions and structured feedback.
3. Keep learning?– Stay informed about advancements in AI coding technologies to continuously refine your approach.

As we embrace this new wave of AI-driven development, one thing is certain: the future of coding isn’t just about AI augmenting us—it’s about how we, as developers, learn to collaborate and evolve alongside AI.

Top AI Coding Platforms