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I understand your concerns, but I see a positive side to this evolution. While increased accessibility can lead to an influx of less polished code, it also brings diverse perspectives and innovations that might not have emerged otherwise. With AI, we have an opportunity to enhance productivity and assist developers in writing better code by automating routine tasks and catching errors early. If we focus on mentoring and setting strong standards, we can harness these tools to improve overall code quality rather than detract from it.
I've been following the news about GitHub partnering with Google and Anthropic, and it's exciting to see AI becoming more integrated into developer tools. In line with this trend, I've been working on a tool called AI2sql
https://ai2sql.io/ that uses AI to translate natural language into SQL queries. It's aimed at simplifying database interactions for developers who might not be experts in SQL. I'm curious—how do others feel about the growing role of AI in programming, and have you found AI tools helpful in your own development process?
I've been following the integration of AI into coding with great interest. It's remarkable to see that over a quarter of Google's new code is now AI-generated. In line with this trend, I've been working on a tool called AI2sql
https://ai2sql.io/ that uses AI to convert natural language into SQL queries. It's been helpful in streamlining database interactions without needing deep SQL expertise. I'm curious—has anyone else here been leveraging AI tools to assist with code generation or simplify complex programming tasks?
First, identify the specific challenges you're facing with tracking your contributions—whether it's remembering small tasks, quantifying your impact, or tracking indirect contributions like mentoring. Once you’re clear on what you need, consider using Deep Work Zone
https://www.deepworkz.one/ as a tool to support these goals. You can set focused work sessions for major tasks, use real-time tracking to log contributions, and block distractions to stay on task. By aligning the tool with your needs, it can become a more effective solution for reaching your productivity and tracking goals.
I found my new project after facing endless distractions and trouble focusing on side ideas. I developed a tool tailored to my needs for deep work—a simple, distraction-free app that helps me set goals, block interruptions, and dive into focused work sessions. Finally, I could create a space to get real work done, and that’s how
https://deepworkz.one/ was born.
As the founder of
https://ai2sql.io/ , I'd suggest going with "Founder" or "Creator." Both terms convey that you built and led the project, even if it's not a formally incorporated company yet. Personally, I've found "Founder of AI2sql" strikes a good balance—it shows initiative and ownership while giving the project credibility, especially in tech where "Founder" often implies innovation rather than formal incorporation.
I'm working on AI2SQL
https://ai2sql.io/ , an AI tool that turns plain language into SQL queries to simplify data access for everyone. We're very close to hitting $10K MRR, and I'm working hard to reach that milestone!
You might find Deep Work Zone useful
https://www.deepworkz.one/ - it's a Chrome extension that tracks which websites you spend time on and helps identify productivity patterns.
My First Experience with Claude Computer Use - It's Mind-Blowing!
Just tested Claude's new Computer Use feature and had to share this simple but powerful test:
My Basic Prompt:
"Please:
1. Search Amazon for 3 wireless earbuds:
Find price
Rating
Brand name
2. Make a simple Excel file 'earbuds.xlsx':
Put the information in a basic table
Add colors to the headers
Sort by price
3. Show me the results"
What blew my mind:
- Claude actually looked at my screen
- Moved the mouse by itself
- Clicked buttons like a human
- Created reports automatically
It's like having a virtual assistant that can really use your computer! No coding needed - just simple English instructions.
For those interested: https://mergisi.medium.com/8f56f683e307
Absolutely agree! SQL has indeed become essential for everyone to know, regardless of their primary programming language. As the founder of
https://ai2sql.io/ , I've seen firsthand how making SQL more accessible empowers professionals across various fields. Tools like AI2sql help bridge the gap by converting natural language into SQL queries, enabling more people to harness the power of data. The rise of SQL is a testament to the growing importance of data in our world!
Consider Microsoft Clarity—it's free, offers session recordings, heatmaps, and detailed insights. It's easy to integrate with Vercel, and unlike usage-based platforms, has no hidden costs. A good alternative if you want more than basic analytics.
I've been using AI2sql
https://ai2sql.io/ , and it's been a game-changer! It lets you write SQL queries just by using natural language, so instead of spending time crafting complex queries, you just describe what you need, and it does the rest. It’s super handy when you want quick insights from your database without getting too deep into the SQL syntax. Definitely a time-saver and worth checking out if you’re working with databases regularly!
As the founder of AI2sql
https://ai2sql.io/ , the idea came to me while working on data warehouses and noticing that many business users struggled with writing SQL queries. I saw an opportunity to simplify this with AI. My advice: focus on real pain points you observe in your own work. Even if others are tackling similar problems, your unique perspective can lead to a better solution. Keep iterating until something sticks!
If Copilot felt underwhelming, try Cursor or Claude both are great for backend languages. They handle more complex logic and boilerplate better than simple autocomplete. Also, check out AI2sql
https://ai2sql.io/ if you work with SQL; it's a solid tool for generating complex queries and could save you time on database-related tasks.
I built AI2sql
https://ai2sql.io/ , a tool that helps people generate SQL queries from natural language. It’s been great to see how it simplifies working with databases, especially for those who find SQL syntax challenging or time-consuming. Users have told me it’s made their workflow faster and allowed them to focus on building out their projects without getting bogged down in query writing. It’s been really rewarding to see how it’s made data handling more accessible for many!
I built
https://ai2sql.io/ , a tool that converts natural language into SQL queries. It’s been exciting to see how much users enjoy it and how it boosts their productivity. It’s always fascinating to see how people integrate it into their workflow and make it their go-to tool for handling SQL tasks!
I used OpenAI Canvas to help with the conversion. Essentially, I took the static HTML/CSS and wrote TypeScript to dynamically render blog posts.
AI2SQL can connect to your database and assist with tasks such as query generation. It can analyze your database schema, including tables, indexes, and relationships, to provide more accurate and efficient SQL queries based on your database structure.
While some AI code editors might seem superficial, tools like AI2sql
https://ai2sql.io/ai2sql-vscode-extension are adding genuine value. It's a VS Code extension that generates complex SQL queries from natural language, significantly speeding up database interactions.
This isn't just a skin - it's changing how developers interact with databases, making SQL more accessible to non-experts. It's a step towards rethinking coding workflows with AI, while still integrating seamlessly into familiar environments like VS Code.
Perhaps the future isn't about replacing IDEs entirely, but enhancing them with powerful AI tools that address specific pain points in development.
I'm working on
https://ai2sql.io/ , an AI-powered tool that converts natural language to SQL queries. We just hit a significant milestone - $9K MRR!
It's been an exciting journey building this in public. Our goal is to make database querying more accessible to non-technical users while also boosting productivity for seasoned developers.
Currently, we're focusing on expanding our language support and improving query optimization. We're also exploring ideas for integrating more advanced AI models to handle increasingly complex query scenarios.
Any fellow devs working on AI tools or database technologies? I'd love to hear about your projects or exchange ideas!
AI can be frustrating when it falls short on complex tasks, especially with long or intricate code. To get the most out of it, you need to break down big problems into smaller pieces and choose the right AI for your needs—like OpenAI o1, Claude Sonnet. Also, leveraging dev tools like Cursor AI can help enhance productivity. For tasks like SQL generation, specialized tools like
https://ai2sql.io/ work great. AI isn't perfect for everything, but when used selectively, it can still be super helpful.
Dealing with AI-generated code complexity is a common challenge. AI tools can quickly produce functional code, but often at the cost of readability and maintainability due to excessive abstractions and indirection. One effective approach is to establish strict coding standards and incorporate thorough code reviews to simplify and optimize the generated code.
As the founder of AI2sql, I’ve found that balancing AI assistance with human oversight is crucial. By setting clear guidelines and regularly refactoring the code, it's possible to harness the speed of AI while maintaining a clean and manageable codebase.
Since immigration sponsorship is crucial, it’s wise to stay while passively exploring new opportunities and networking. Focus on upskilling or working on side projects to keep yourself prepared for future moves. If the current role isn’t providing value, think about how it can still support your long-term goals.
more options for customizable tuning would be great.
I tested Llama 3.2 on my MacBook, and it runs impressively fast. I plan to look more deeply into its capabilities and have some specific use cases in mind for further testing. Fine-tuning could be improved, and better integration with AI stacks like RAG would be helpful. Overall, it's a solid model with great potential!
https://x.com/mustafaergisi/status/1839647877498278311
If you're looking to get more comfortable with SQL and understand what's going on under the hood, one tool that might be worth checking out is AI2sql
https://ai2sql.io/ . It helps generate SQL queries from natural language descriptions, which could be handy when you’re working on more complex database tasks like MATERIALIZED VIEWS or run detection. While it's not a substitute for understanding core concepts, it can help you experiment with different query structures as you learn more about how things work at a deeper level.
I can totally relate! I've noticed a similar shift in my workflow. ChatGPT, Claude, and other AI tools have become indispensable, especially for specific or complex queries. When it comes to SQL, I've found tools like AI2sql
https://ai2sql.io/ai-sql-query-generator really helpful—they generate queries from plain English prompts in no time. It’s been a game changer for my SQL-related tasks! While Google still has its place, AI tools definitely feel more efficient for many of the technical queries I used to search for.