If you had to restart your software engineering career today, which would you learn first?
• System Design
• AI/LLMs
• Cloud Computing
• Cybersecurity
• Data Engineering
You can only pick one.
What's your choice and why? 👇
🚨 AI coding assistants are moving beyond autocomplete.
They build, test, review, and fix code.
AI won't replace great engineers—it will amplify them.
#AI#SoftwareEngineering#Programming
🚨 AI coding assistants are moving beyond autocomplete.
They build, test, review, and fix code.
AI won't replace great engineers—it will amplify them.
#AI#SoftwareEngineering#Programming
Want recruiters to notice your GitHub
Don't just upload code.
Add:
✅ A clear README
✅ Architecture diagram
✅ API documentation
✅ Screenshots
✅ Deployment link
✅ CI/CD status badge
✅ Challenges you faced
✅ Future improvements
What's the best project on your GitHub today?
Want recruiters to notice your GitHub
Don't just upload code.
Add:
✅ A clear README
✅ Architecture diagram
✅ API documentation
✅ Screenshots
✅ Deployment link
✅ CI/CD status badge
✅ Challenges you faced
✅ Future improvements
What's the best project on your GitHub today?
Hot take:
AI has made writing code dramatically faster.
But has it made us better software engineers?
Or has it simply shifted the bottleneck from coding to reviewing, testing, and maintaining software?
Where do you stand?
👇 I'd love to hear your experience.
Hot take:
AI has made writing code dramatically faster.
But has it made us better software engineers?
Or has it simply shifted the bottleneck from coding to reviewing, testing, and maintaining software?
Where do you stand?
👇 I'd love to hear your experience.
One habit accelerated my engineering growth more than any course:
Build projects that solve real problems.
Skip another To-Do app. Build something that saves time, automates work, or helps people.
Employers remember impact, not tutorials.
What are you building right now?
One habit accelerated my engineering growth more than any course:
Build projects that solve real problems.
Skip another To-Do app. Build something that saves time, automates work, or helps people.
Employers remember impact, not tutorials.
What are you building right now?
Built my first mini data platform
CoinGecko API → Python ETL → PostgreSQL → SQL → Pandas
Learned APIs, JSON, ETL, logging, debugging, PostgreSQL, SQL aggregations, reporting, .env configs, and modular project structure.
#DataEngineering
@saen_dev Thanks, this honestly makes a lot of sense. I’ve been stuck watching too many roadmap videos and courses
Building one real project end to end feels way more practical. Really appreciate this advice 🙌
Does anybody have a good roadmap for becoming a Data Engineer from scratch? What skills, tools, projects, and resources would you recommend for beginners?
Would love to hear your insights and learning journey!
#DataEngineering#DataEngineer#CareerGrowth
JSON isn’t optimized for LLMs it’s optimized for machines. Every extra character = more tokens = more cost.
TOON cuts the noise: same data, ~57% smaller input.
Less text → faster responses, lower cost, cleaner workflows.
Have you used TOON? If yes, comment below 👇