Human-reviewed AI-generated Code for Efficiency and Accuracy

When looking at how to solve a problem, it’s sometimes helpful to look at the two extreme solutions.

What if you have a coding project? The extremes are as follows:

  • Let your favorite generative AI tool vibe code a solution.
  • Require your coders to perform old-school coding with no assistance whatsoever. (OK, maybe a book or something.)

I’ve mentioned Silicon Tech Solutions in the Bredemarket blog before, so I was curious how they approached the task. Turns out the company wrote an article about it, “How AI Coding Tools Are Revolutionizing Development – And Why the Right Prompt Matters.”

An example of a “wrong” prompt:

“Optimize this SQL query.”

And here’s an example of a “right” prompt, guided by a development expert:

“Optimize this SQL query to reduce execution time on a large PostgreSQL table with millions of records. Indexing suggestions would be helpful.”

Because knowledge of coding IS good when you code stuff. And Silicon Tech Solutions uses this knowledge when it uses generative AI coding tools:

At Silicon Tech Solutions, we actively use Cursor to enhance our development workflow. By integrating AI-powered coding tools, we:

πŸ”Ή Reduce development time while maintaining high standards.

πŸ”Ή Automate repetitive tasks, allowing developers to focus on core logic.

πŸ”Ή Ensure clean and optimized code, reducing technical debt.

However, AI does not replace human expertiseβ€”it enhances it. Our team carefully reviews and refines AI-generated code to align with best practices and business requirements.

If you want Silicon Tech Solutions’ expertise at your disposal, request a meeting.

Because a Marketer Needs to Eat: Translating OpenAPI Version Difference Explanations into Marketing-Speak

To better understand two of the projects for a Bredemarket client, I asked Google Gemini for an explanation of the differences between OpenAPI versions 3.1.1, 3.1.2, and 3.2.

Google Gemini provided me with that explanation.

Then I supplied the following prompt:

Rewrite the above so a marketer can understand it.

Here is part of what Google Gemini provided to me.

πŸ—οΈ OpenAPI 3.1.1 & 3.1.2: The “Under the Hood” Fixes

These versions were like a restaurant updating its internal plumbing. They didn’t change what was on the menu, but they made sure the kitchen (the code) followed the latest global safety standards (JSON Schema).

  • The Goal: Accuracy and stability.
  • The Benefit: It ensures that when a developer tries to connect to your service, they don’t run into “grammar” errors in the documentation.

✨ OpenAPI 3.2: The “UX & Branding” Upgrade

Released recently (late 2025), this version is all about making your API easier to sell and easier to use.

1. Organized Menus (Hierarchical Tags)

Before, your API list was just one long, flat list of features.

  • Old way: A messy “junk drawer” of links.
  • 3.2 way: You can now create folders and sub-categories (e.g., Payments > Refunds > International). This makes your documentation look professional and much easier for customers to navigate.

2. Better Support for AI and Live Data (Streaming)

If your product uses AI or real-time data (like a live stock ticker or a ChatGPT-style chat), 3.2 is a game-changer. It has a specific way to describe “Streaming” data so developers know exactly what to expect from your “live” features.

3. The “Smart Search” (The QUERY Method)

In older versions, developers often had to “hack” the system to do complex searches. 3.2 introduces a dedicated Search button (the QUERY method) that is cleaner, safer, and follows modern web standards.

4. IoT & Smart Device Support

If your product works on a Smart TV, an Apple Watch, or an IoT device, 3.2 finally adds official support for “Device Pairing” (that thing where you enter a code on a website to log in to your TV).

Hey, it helped me. Marketers need to eat, and writers understand grammar.