Hey fellow devs! đ
Letâs be realâweâve all been stuck in the grind: endless debugging, repetitive tasks, or trying to crack the perfect design. But what if I told you AI could make that grind a little less⌠grind-y? đ
In this article, Iâm going to share some AI tools that Iâve found super helpful in my workflow. Theyâll save you time, take some of the load off, and make those frustrating moments a little less painful. And of course, if youâve got your own secret weapons, drop them in the commentsâIâd love to hear whatâs working for you!
1. GitHub Copilot: Your Code BFF đ¤
Youâve probably heard about GitHub Copilot already, but if you havenât given it a go yetâdo it. Itâs like having a coding buddy whoâs always there, ready to suggest code completions, generate boilerplate code, or help you with that function you just canât get right. Itâs especially awesome for those times when youâre working on repetitive code, or just need to speed things up.
Why youâll love it:
- It suggests code as you typeâsometimes even whole blocks!
- It works with tons of languages, so whether youâre in JavaScript, Python, or something else, itâs got you.
- Itâs a great way to learn new coding tricks along the way.
Open question: Whatâs your experience with Copilot? Have you found it to be a game changer or just another ânice to haveâ? Letâs talk about it!
2. Tabnine: Code Autocompletion on Steroids đ
If you prefer a more lightweight code assistant, check out Tabnine. Itâs an AI-powered autocompletion tool that works seamlessly with your favorite IDE. Unlike Copilot, it doesnât try to take over with massive code suggestionsâjust quick and helpful hints to keep you moving.
Why youâll love it:
- Tabnine is a lot faster for shorter suggestions and code snippets.
- It learns from your codebase, so the more you use it, the more it understands your coding style.
- Works offline (a lifesaver if youâre coding on the go).
Letâs chat: Have you ever paired Tabnine with Copilot? Do you think having both makes you more productive, or is it overkill? Iâm curious what others think!
3. ChatGPT: The Debugging Lifesaver đ ď¸
Okay, I know everyoneâs been talking about ChatGPT for everything, but it seriously shines when youâre knee-deep in a tricky bug. Whether you need help figuring out an error or want a quick explanation of a complex concept, ChatGPT can be that âcolleagueâ who always has an answer (even at 2 AM).
Why youâll love it:
- It can help you debug or walk you through a tough problem step by step.
- If youâre stuck on a design decision or need a fresh idea, ChatGPT can brainstorm with you.
- Sometimes, you just need someone (or something!) to bounce ideas off.
Quick Q: How do you use ChatGPT? Do you find itâs more helpful for problem-solving or brainstorming ideas? Would love to know how it fits into your dev flow.
4. Figma AI Plugins: Design Workflows Made Easy đ¨
Designers, this oneâs for you. Figma AI plugins like Magician or Autoflow are great for making design workflows faster and more intuitive. Whether youâre generating icons, tweaking color palettes, or automating tedious layout tasks, these AI tools give you a major productivity boost.
Why youâll love it:
- Need a quick color palette? AI can generate one in seconds.
- It helps you create beautiful, functional layouts with less manual work.
- Perfect for prototyping without getting too bogged down by the details.
Letâs discuss: What AI tools are you using for design? Have they actually improved your creative process, or do you still prefer doing everything manually? Iâm curious about your experiences!
5. DALL¡E & MidJourney: AI for Custom Visuals đźď¸
If you need quick visuals for your website, but donât have time to design them from scratch, DALL¡E and MidJourney are your new best friends. Just throw in a description, and these AI tools will generate custom images or graphics that you can use in your projects.
Why youâll love it:
- Theyâre perfect for generating placeholders, icons, or even full visuals.
- Saves you a ton of time when you donât want to dive into Photoshop or Figma.
- Great for early-stage prototyping or client presentations.
Your take: Do you find AI-generated images good enough for real projects, or are they still more of a âquick fixâ while you wait for custom designs? Iâd love to hear how you use them in your work.
6. AI Testing Tools: Better, Faster, Smarter QA â
Testing can be one of the most time-consuming parts of web development, right? Luckily, AI-powered testing tools like Lighthouse are here to make it quicker and more efficient. You can automate performance, SEO, and accessibility checks, getting suggestions on how to improve your app or site.
Why youâll love it:
- It flags performance, SEO, and accessibility issues automatically.
- Helps you optimize your site without diving into too much manual testing.
- Works well in CI/CD pipelines, so it can automate your checks on every build.
Thoughts?: What tools are you using for automated testing? Do you trust AI for critical testing, or do you still prefer doing some manual tests for peace of mind?
7. Code Snippets AI: Smarter Code Reuse âťď¸
Thereâs nothing worse than writing the same code over and over. Code Snippets AI helps with that by scanning your projects and suggesting code you can reuse. Itâs all about keeping your code DRY (Donât Repeat Yourself) and making your workflow more efficient.
Why youâll love it:
- Keeps your codebase clean by reducing redundancy.
- Helps you reuse snippets across projects (or even teams).
- Saves time by suggesting similar code from previous projects.
Curious: How do you manage your code snippets? Do you keep them organized manually, or are you using AI or other tools to do the heavy lifting for you?
Wrapping Up
AI isnât here to replace us developers (phew!), but itâs here to make our lives a whole lot easier. Whether itâs writing code, creating designs, or testing your site, thereâs an AI tool out there that can streamline your workflow and free you up for the fun parts of web development.
Now itâs your turnâwhat AI tools are you using? Have any favorites that werenât mentioned? Drop your thoughts, recommendations, and questions in the comments. Letâs keep this discussion going and help each other out!
Happy coding, everyone! đ
Top comments (18)
Amazing insights! Iâll definitely use some of these. By the way, I rely on Replit, Jupyter, and Claude for coding assistance. For image generation, I've been using qolaba as it offers models like SDXL, Flux, and DALL-E, along with coding support from Claude and GPT-4o. I love these type of tools who offers multiple features at a single platform.
Happy that you already use some of them đ. Keep sharing with the community.
Great list. I would also add Pieces to that list.
It's similar to GitHub Copilot but has more features and more LLM's.
thank you!
How does one use ChatGPT for debugging? Usually debugging requires very specific context. I guess specific error codes and messages into it and asking it for suggestions is one way?
Use Fine instead, it integrates with your GitHub so it can learn the whole context.
I need a job
niiiiiice share ths
đđż
Nice work Kudzai!
thank you!
Great list! Everyone talks about AI helping to save so much time but often it's unclear where to begin.
Check out Fine too, it integrates with your codebase and can help a lot more with coding, automatic workflows, testing and error management.
Phind is also another free pair programmer which I find it very helpful in my coding. Worth mentioning!
Great list! I have also listed some amazing tools in my latest post.
Thanks for sharing with the community
Those are some gr8 insights, defo worth saving kudzai.
Thank you
Some comments may only be visible to logged-in visitors. Sign in to view all comments.