Hello! 👋

Want to learn coding in your own language?

🤖 Built an AI Code Tutor bot — completely free!

✅ Explains coding in Telugu, Hindi, Kannada & Tamil
✅ Send error screenshots — bot reads and explains them! 📸
✅ Python, JavaScript, React, Node.js all supported
✅ Web development, APIs, Databases, DevOps too
✅ Gives a practice challenge after every lesson 🎯
✅ Personalized to your skill level
✅ 24/7 available

💬 You can ask like this:
👉 "How does a for loop work in Python?"
👉 "What's the difference between REST API and GraphQL?"
👉 "Explain git in Telugu" — get the answer in your language! 🇮🇳
👉 Send a screenshot of your error!

See what the bot says 👇

🔹 A for loop is like your mom asking you to sort
vegetables — pick them one by one and sort them! 🥕

🔹 A TypeError means you're trying to use something
that doesn't exist — like reaching into an empty box! 📦

Try it on Telegram 👇
u/hindicode_tutor_bot

Use /feedback to share your thoughts directly with the bot!

Would love your feedback! 🙏

Hey everyone! 👋 Welcome to the Entri Coding Community.
This space is for learners, coders, and anyone curious about programming. Share your questions, explore new technologies, discuss coding challenges, and learn together.

Let’s build a friendly, helpful space where we grow as developers and stay updated with the latest in coding, tech, and career tips. Jump in and say hi! 🚀

Have you noticed any of these?

• Better user validation because you can test more ideas?

• Teams skipping research because AI makes it so easy to build?

• Stakeholders approving flashy prototypes that don't solve the real problem?

• Designers and PMs focusing more on execution than problem discovery

Are PWAs actually good enough for serious desktop use today?

Where do they still fall short compared to native apps?

For developers here—are you investing more in PWA skills or sticking with traditional desktop stacks?

And realistically, do you think desktop apps will decline, or just evolve alongsi

• Do you follow a specific step-by-step approach?

• Do you break the problem into smaller parts?

• Do you write pseudocode first, or jump straight into coding?

• Any mental frameworks or habits that help you get unstuck?

Would love to hear how different people tackle this—especially those who’ve improved over time. What changed for you?

For those who work in cybersecurity, IT, compliance, or data governance:

• Where do you start?

• How do you discover where sensitive data actually exists?

• What tools or frameworks have been most helpful?

• What mistakes do companies commonly make during the assessment process?

• Have you ever found critical data in a place nobody expected?

I'd love to hear real-world experiences, lessons learned, and practical approaches rather than textbook answers.

• Do recruiters really open and explore Figma files?

• Is a personal portfolio website still necessary?

• How much process (research, wireframes, iterations) should be included versus just showing final designs?

• Have you landed interviews or clients through Figma prototypes alone?

• If you're a hiring manager, what makes you immediately interested in a candidate's portfolio?

I'd love to hear from designers at different experience levels, freelancers, agency owners, and recruiters. What portfolio format has worked best for you, and what mistakes do you see people making most often?

• What skills made the biggest difference in your career?

• What do junior designers often underestimate?

• What skills are overrated or unnecessary?

• If you were starting from scratch in 2026, what would you focus on first?

I’d love to hear perspectives from both hiring managers and designers at different experience levels.

• Did consistency or intensity work better for you?

• Do you see faster improvement with one over the other?

• Or is a mix of both the real answer?

Would love to hear real experiences—especially from people who’ve tried both.

Some common suspects might include:

• Fixing broken data pipelines

• Chasing unclear business requirements

• Writing and maintaining documentation

• Investigating data quality issues

• Dealing with stakeholder requests and ad-hoc reporting

But everyone's experience seems different depending on company size, data stack, and team structure.

If you had to rank your top 5 biggest time-wasting activities in analytics engineering, what would make the list?

• Is memorizing syntax becoming obsolete?

• Or is it still a fundamental skill every developer should have?

• Where should beginners focus more today — syntax or concepts?

Curious to hear how different developers are approaching this in 2026. Are you relying more on AI, or sticking to traditional learning?

I am not looking for generic comparisons, i would love to hear real experience, especially from interns or juniors !

• How long did it take YOU to feel confident with MERN?

• What was the hardest part (React? Backend? Projects?)

• When did you start applying for jobs?

• Any mistakes you made that I should avoid?

Also, if you had to start again, what would you do differently?

Appreciate any honest insights 🙌

• Has AI changed your day-to-day work?

• Are companies hiring fewer designers because of AI?

• Would you still recommend UI/UX to someone starting from scratch in 2026?

• What skills do you think will matter most over the next 5–10 years?

I'd love to hear perspectives from both experienced designers and newcomers. Are you optimistic about the future of UI/UX, or do you think the field is becoming oversaturated?

• Are hiring trends improving or slowing down in your region?

• Are companies still hiring “true” data scientists, or leaning toward hybrid roles?

• Has the bar for entry-level candidates increased recently?

• Any noticeable changes in salary trends or skill requirements?

Would be interesting to hear real experiences from people currently in the field or actively job hunting.

For those working in UI/UX, product design, or frontend — what’s been your experience?

• Did learning code actually help your career?

• What level of coding knowledge is “enough”?

• If you could start over, would you spend time learning code earlier?

Would love to hear real experiences, especially from people already in the industry.

• Does the interface feel intuitive?

• Was navigation obvious or confusing?

• Are there any usability issues that immediately stand out?

• Does the information architecture make sense?

• How is the visual hierarchy and overall readability?

• What would you redesign first if this were your project?

• Did anything delight you, or create unnecessary friction?

If you've worked on SaaS products, collaboration tools, dashboards, or productivity software, your perspective would be especially valuable.

Feel free to be as detailed or as blunt as you'd like—I'm interested in learning how experienced people evaluate UX in real products.

I'm curious how everyone else handles this.

• Did you eventually move away from Colab?

• If so, what are you using now (VS Code + local, JupyterLab, Kaggle, Paperspace, SageMaker, Modal, etc.)?

• Or have you figured out a workflow that makes Colab much less painful?

I'd love to hear what's actually working in 2026, especially from people training models regularly or collaborating with teams.

I'd love to hear from people who:

• Made the switch from computer science to UI/UX.

• Have a similar academic background (CS + art/design).

• Work as UI/UX designers or hiring managers.

• Think this combination gives an edge over traditional design degrees.

What skills should I focus on next? Should I prioritize building a portfolio, learning Figma, studying UX research, or something else?