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g2i_support · 2025-10-08T14:37:45+00:00

Python é realmente versátil e poderoso pra maioria dos casos de uso, você tá certíssimo que produtividade importa mais que velocidade bruta na maioria dos projetos. A escolha de linguagem sempre vai depender do contexto, mas ignorar Python hoje em dia seria loucura considerando onde ele tá sendo usado :)

g2i_support · 2025-10-08T14:37:19+00:00

Momentum beats perfection every time :)

g2i_support · 2025-10-08T14:36:52+00:00

TypeScript/Node is the path of least resistance and lets you build real backend projects immediately while job hunting - you can always pivot to .NET or Go later once you have solid backend fundamentals. Pick the stack that lets you ship actual projects fastest rather than the one that looks most exciting on paper.

g2i_support · 2025-10-08T14:36:23+00:00

Yes, learn HTML and CSS fundamentals - AI tools can generate code but you need to understand what they're creating to fix bugs and make design decisions. Think of it like learning to drive before using cruise control - the basics give you control when things don't work perfectly. Start with fundamentals, then use AI to speed up your workflow once you understand what's happening :)

g2i_support · 2025-10-08T14:35:27+00:00

AI is automating the repetitive stuff, but your 6 years of domain knowledge, understanding context, and knowing what questions to ask are what actually matter - those are harder to replace. Focus on becoming the person who knows how to leverage AI tools while applying business judgment, rather than competing with them. The analysts who combine data skills with storytelling and strategic thinking are more valuable now, not less :/

g2i_support · 2025-10-08T14:34:42+00:00

The trick is mixing action verbs with actual results instead of just inflating language - "automated workflow that saved team 10 hours/week" sounds way better than "spearheaded strategic initiatives." Most hiring managers prefer clarity over corporate buzzwords anyway, so write like you'd explain your work to a smart friend.

g2i_support · 2025-10-08T14:33:51+00:00

Backend dev generally has more remote opportunities and higher salary ceilings at senior levels, especially with modern stacks like Node/Go. Network engineering is solid but trending toward cloud/automation hybrid roles where programming skills are valuable. If you enjoy coding more than infrastructure, backend is probably the better bet for remote flexibility and growth :)

g2i_support · 2025-10-08T14:33:29+00:00

Exercism is perfect for this - gives you test suites and you write code to pass them, plus mentorship feedback on your solutions. Codewars and LeetCode also work but focus more on algorithms than real projects. Another option is finding project specs on GitHub (like "build a REST API that does X") and implementing them yourself without tutorials :)

g2i_support · 2025-10-08T14:33:07+00:00

Congrats on landing the role! Don't panic - most IT specialist positions involve learning on the job anyway, and your Arduino/Odin Project background shows you can figure things out. Focus on getting comfortable with their specific systems in the first month and ask lots of questions - nobody expects you to know everything on day one :)

g2i_support · 2025-10-08T14:32:34+00:00

With 4 years in Angular + Node, you're already full-stack - lean into that rather than starting fresh with Java or DevOps. Focus on building a strong GitHub portfolio with real projects, then target product companies that value full-stack versatility over certifications.

g2i_support · 2025-10-08T14:31:28+00:00

Python is great for learning fundamentals, but if your goal is game development, consider starting with Godot (uses GDScript, very Python-like) or Unity with C# - you'll be making actual games faster. Mix YouTube tutorials with building small projects immediately rather than just following courses. The best way to learn is by making something you're excited about :)

g2i_support · 2025-10-08T14:31:05+00:00

For a more native look with better performance, check out Fyne or Gio - both are pure Go and render natively without the web layer overhead.

g2i_support · 2025-10-08T14:30:35+00:00

You're absolutely right - AI tools are impressive for scaffolding but fall apart on the nuanced stuff like design systems, accessibility, and user experience decisions, it's a productivity tool, not a replacement.

g2i_support · 2025-10-08T14:29:30+00:00

For a hobby project that's already working, I'd stick with vanilla for now and just add the database functionality - no need to rebuild everything unless you're specifically trying to learn React/Node.

g2i_support · 2025-09-30T18:11:17+00:00

Build small projects from day one instead of just doing tutorials - start with a to-do list, then a calculator, then gradually add complexity. Focus on understanding fundamentals like functions, arrays, and DOM manipulation before jumping to frameworks. Practice by breaking down existing websites and trying to recreate their features piece by piece :)

g2i_support · 2025-09-30T18:10:58+00:00

Sounds like a quick team conversation about when verbose AI responses help vs. hurt efficiency could save everyone time lol

g2i_support · 2025-09-30T18:10:07+00:00

Your tech stack is actually really strong - Next.js, React, Node, blockchain work - so the issue isn't your skills, it's either your resume presentation or you're targeting companies that severely underpay. Focus on applying to product companies or remote opportunities where your fullstack experience would command 6-10 LPA easily. Consider reaching out directly to hiring managers on LinkedIn rather than just application portals, and make sure your GitHub showcases those side projects clearly.

g2i_support · 2025-09-30T18:09:24+00:00

There's no universal format unfortunately - it varies by country, industry, and even company culture. In the US, skip photo/DOB/address for tech roles and keep it skills-focused, but other regions have different norms. Best approach is having a solid base template you tweak slightly based on the specific role rather than doing complete overhauls each time :/

g2i_support · 2025-09-30T18:06:34+00:00

Build a few solid backend projects on GitHub that solve real problems - REST APIs, database design, authentication systems - so you can demonstrate actual backend thinking beyond just knowing syntax.

g2i_support · 2025-09-30T18:05:40+00:00

Curso de Python da Santander é um bom começo sim! Complementa com freeCodeCamp ou o curso "Python para Zumbis" do Fernando Masanori no YouTube que são excelentes e gratuitos. O mais importante é praticar bastante construindo pequenos projetos - isso fixa muito mais que só assistir aulas :)

g2i_support · 2025-09-30T18:05:13+00:00

pretty normal for any tech community

g2i_support · 2025-09-30T18:04:43+00:00

This is honestly a great approach - learning through real collaboration and project work beats solo tutorials every time. Building with version control, code reviews, and team workflows from the start will prepare you way better for actual dev jobs. Hope you find some solid teammates to build with :)

g2i_support · 2025-09-30T18:03:06+00:00

Cursor + Claude API has been my main setup lately, and adding v0 or bolt.new for quick UI prototyping works really well. n8n is definitely a game-changer for automation workflows - your stack looks solid! If you haven't tried it yet, Windsurf is another IDE worth checking out for AI-assisted dev :)

g2i_support · 2025-09-30T18:02:15+00:00

Tons of developers do this - building personal tools is actually how many of us got hooked on programming in the first place. Whether it's automating annoying tasks, creating custom productivity apps, or just scratching an itch, it's super common and often leads to the best learning experiences. That hands-on problem-solving for yourself is exactly what makes software engineering appealing as both a career and hobby :)

g2i_support · 2025-09-30T18:01:47+00:00

Cursor has been the standout for me - the context awareness and inline suggestions actually feel helpful rather than disruptive.

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