Artificial Intelligence Effects on Software

Until the last few days, I had not intentionally invoked AI (although I’m sure it has been working behind the scenes in many things I’ve done; search engines come to mind). I find myself now asking ChatGPT questions that I would have sought answers for on forums.

I’m curious to know how many here use AI, which ones they use, and how they use it. Are there other uses for AI in web development (CSS/HTML/Javascript/SQLServer, etc.) that I should look into?

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I use AI for code snippets. Normally AI complicate things a lot, so I have to simplify the code to be useful. Sometimes I get a complicated code snippet from one AI and ask for simplifying by asking another AI. Questions about HTML, CSS, Javascript, Go, Server stuff, SQL etc…

Copilot is the best for short simple questions. Claude and chatGPT for more complicated questions. Blackbox and Deepseek more seldom. And Gemini is a second opinion. And Phind is almost always looking from another angle.

My questions are very broad, but mainly about code, architecture and similar.

Forum are still valid as AI cannot give a HI opinion. And opinions are subjective and more what you expect from a real customer. Sometimes is HI straight to the point and not that friendly, but that is sometimes better than a friendly AI that almost always agree with me. If I ask on a forum I expect a honest answer (opinion) that is harder to get from AI.

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You just have to temper your expectations of AI. They are very good but, especially when you inevitably get to the point of asking it to generate code for you, come up with things that obviously aren’t human thought patterns, and don’t always generate something you want, but has answered the prompt.

More worrying is when AI has been used to substitute for understanding. When something goes wrong, if you dont know what the AI did, you wont be able to fix it.

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Thanks for the info.

I will look into the other AIs and see what I think of them.

Thanks, that has been my experience. I do find it useful to introduce new topics.

I have used ChatGPT and Perplexity with some success. Trying to get Perplexity to debug its code was frustrating but an interesting experience…

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I’ve integrated DeepSeek—alongside tools like ChatGPT and Copilot—into my workflow for web development, using it to scaffold HTML/CSS/JavaScript and generate SQL queries, with its most powerful asset being real-time error detection and precision fixes (notably flagging and resolving “deepseek‑reasoner does not support successive user or assistant messages” by enforcing interleaving) . The recent R1‑0528 release has enhanced reasoning, JSON output, function‑calling support, and dramatically reduced hallucinations , while DeepSeek‑Coder‑V2 delivers GPT‑4‑level code performance across 338 languages—ideal for debugging, refactoring, and test‑generation . Beyond code, DeepSeek enables AI‑enhanced UI generation, in‑browser ML (with TensorFlow.js), and SQL optimization assistants—making it a versatile collaborator from design to deployment.

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I distrust anything from China; so I’ll not use DeepSeek, but I do use ChatGPT and Perplexity

I have using ChatGPT for more then 2 years now, since then I have also been using Deepseek, Gemini and Claude.
Claude is my favorite for coding.
DeepThink for Deepseek has solved issue that others couldn’t solve, it takes a lot of time to process but interesting reading as you can read how the thinking evolves.
Gemini hasn’t been helpful in coding but is when writing text.

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I’ve been using AI tools like ChatGPT mostly to help with coding questions or debugging - saves a ton of time. Also tried some AI-powered code generators and autocomplete tools in editors, which speed up writing HTML/CSS/JS. For SQL Server, AI can help with query optimization or even generating queries from plain English. Definitely worth checking out AI in testing automation too.

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I’ve started using AI tools like ChatGPT more often too—they’re great for quick answers, code snippets, or understanding concepts without waiting for forum replies. Many developers use AI for writing and debugging CSS/HTML/JavaScript, generating SQL queries, optimizing performance, and even explaining unfamiliar code. It’s also useful for writing documentation or testing edge cases. Definitely worth exploring more—it can speed up workflows and help with both learning and productivity.

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You’re definitely not alone—many of us have found ourselves gradually shifting from forums to AI tools like ChatGPT for quick answers, brainstorming, or even code debugging. It’s fast, contextual, and surprisingly helpful for getting unstuck.

I personally use AI for a variety of tasks in web development, including:

  • Generating boilerplate code (HTML/CSS/JavaScript)
  • Explaining complex concepts or unfamiliar libraries
  • SQL query optimization and generation
  • Refactoring messy code into cleaner, more maintainable structures
  • Creating mock data or simple UI components on the fly

For broader use, tools like GitHub Copilot integrate AI directly into the coding environment, offering real-time suggestions as you write code—super useful for speeding up development.

I’d recommend exploring:

  • Code reviews and debugging assistance
  • Accessibility improvements (e.g., making your HTML/CSS more inclusive)
  • Automated testing with help from AI to write unit tests or test cases
  • Performance tuning suggestions for front-end or SQL queries

The space is growing fast, and the right AI tools can really augment your productivity—just be sure to validate what it suggests, especially in production-level work.

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Many developers now use AI tools like GitHub Copilot, Tabnine, and ChatGPT to speed up tasks such as code autocompletion, debugging, and UI generation from prompts saving significant time on routine work. Beyond coding, AI is also helping with image generation, voice interfaces, chatbots, personalized user experiences, SEO content, and automated testing. It integrates well with front-end and back-end stacks like HTML, CSS, JavaScript, and SQL. If you’re in web development, exploring tools like Copilot and AI-based design/testing assistants is a great next step. Just be sure to review AI-generated output for accuracy and security.

Up to now, I haven’t been impressed with the image generation I’ve been working with. Probably me not hitting the nail on the head but what I could generate from Photoshop wasn’t good enough. I also tried Firefly from Adobe, and the results were pretty bad.

Indeed ! Skipping tests on AI-generated code is a recipe for disaster!

When you use AI to generate code for you, you are not able to write yourself, you are lost.

AI is super helpful to reduce time you need to type code massively, but only if you directly can evaluate the output and correct it if it’s not 100% you need.

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I’m curious to know how many here use AI, which ones they use, and how they use it. Are there other uses for AI in web development (CSS/HTML/Javascript/SQLServer, etc.) that I should look into?

I have started to use ChatGPT to answer some questions for me, even some questions I would have asked on here, like you.

I don’t want to rely on it but I’ve also used it to speed up some of my web development projects (don’t tell my clients that - having said that probably some big app development companies in london use it too). However I think these forums will still be needed as the AI can’t be right 100% of the time so its helpful to have another human to help.

I’m thinking of using gemini in the near future to help me out too.

Which AI have you been using?

For coding, I am using claude.ai
I have used the “DeepThink” option of DeepSeek, and it solved a few things that no one else had solved, but it takes time: I have seen 10+ minutes

When I was working at the bank, I couldn’t access any AI (they are blocked). The only one I could use was cursor because they were paying from it and they could configure it to they need.

I guess the reason for it where, cybersecurity risks and/or leakage of private data