AI-Powered Software Development: The Rise of AI-Augmented Strategies For Founders

In today’s Future Friday…

• 🤖 Why AI Augmentation Matters Now.

• 🖥️ Code Creation for rapid functional code generation.

• 🌐 Hyperautomation & AI Testing for streamlining operations and boosting efficiency.

• 🌌 Needle Movers:  Google's AI Power Play, Claude Pro, OpenAI Dev Con.

• 🦾 Editor’s Picks AI-augmented solutions.

Businesses are running out of excuses to not get into AI. Allow me to make my case in this Future Friday.

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TOPIC OF THE WEEK

The Software Race: AI Augmentation's Edge Over Traditional Methods

Let me tell you about two startups.

One company, let’s call it SunnyTech Inc., embraced AI-augmented development for their new e-commerce platform.

AI helped it auto-generate code, test features, and optimize the user experience. Within months, SunnyTech launched a platform that users loved.

Across town, SunnyTech’s rival, RetroSoft Ltd., is also developing an e-commerce platform that relies on traditional software development methods. Its software was solid, but developers spent long hours writing and reviewing code, and manual testing often missed bugs.

The inevitable happened: RetoSoft’s platform, though built with dedication, took longer to launch. And when it finally saw the light of day, it was met with user complaints about bugs and a clunky interface. They spent additional months patching issues and trying to catch up to their competitors.

ℹ️ Why This Matters Today

In a rapidly evolving tech landscape, AI-augmented software development is emerging as a game-changer.

And AI can dramatically increase the efficacy rate of test automation tools.

🏆 Golden Nuggets

• The whole idea of AI-augmentation is to get humans and AI work team up.

• Instead of AI taking over, it’s about automating repetitive and mundane tasks like software testing to free up your team for more complex tasks that need more creative thinking.

💰 Impact On Your Business

What’s wrong with old-school testing methods? They work just fine for my business.

But do they, really?

Today's users demand flawless experiences. They want quick load times and easy-to-use navigation. Any hiccups in the user experience can send them straight to your rivals. And the stats are clear:

• The best conversion rates come from pages that load in 2 seconds or less.

• A whopping 80% of users ditch sites with weak search features.

• 1 in 5 users will exit a site if the checkout process feels too complex.

💡 Ideas to Marinate

What are the pros and cons of AI-Powered Software Testing?

⚒️ Actionable Steps

Truth be told, the initial setup can be quite a headache (if not done right).

Whether you're introducing your current team to AI or starting a new team with AI in mind, just keep in mind that the goal is to make everyone's job easier and more efficient.

How to start incorporating AI augmentation into your software development processes?

1. First, get your team familiarized with AI tools that can help them write and test code. Maybe run a mini-project to let them get their feet wet.

2. If you're hiring for your DevOps team, look for folks who know a thing or two about AI in software development and use AI tools right from the get-go.

3. Then, test the waters. Choose a small task and see how AI can help. After that, chat about what went well and what didn’t.

4. Once everyone's comfortable, you can start using AI tools more broadly in your projects.

Code Faster, Smarter, Better: Transform Your Project with a Few AI Prompts

Now that AI-augmented software has been explained, the pros and cons laid out, and the best tools displayed, it’s time to put AI to the test.

This demo from Encora, a product engineering provider, shows how AI can quickly generate functional code for a specific task when given clear instructions.

🏆 Golden Nuggets

• Clarity is key! You must feed the AI clear instructions to get the desired output

⚒️ Actionable Steps

• Sashir set up a Spring Boot project, which will use the code generated by the AI.

• He then used a shell script to place the AI-generated code into the right project folders.

• For the demo, they wanted a REST API for an expense tracking system. So Sashir used these prompts to do that:

The AI responds to these prompts by producing the necessary code for the REST API and its corresponding unit tests.

• After adding the AI's code, they run unit tests to ensure it works.

• The final step in the demo is exposing the APIs for the tracking expenses system, allowing users to interact with it.

💡 Best Use Cases

By leveraging AI in code generation, businesses can rapidly prototype and deploy functionalities specific to their domain, reducing development time and costs.

• Inventory Management: Generate APIs to track, update, or manage inventory in real time.

• Order Processing: Create functionalities to handle order placements, cancellations, or returns.

• Warehouse Management: Design systems to manage stock levels, reorder points, and shipments.

• Employee Management: Handle employee records, payroll, and leave applications.

CAVEMINDS’ CURATION

AI-augmentation tools