Typical IT salary growth in India:
Staying in same company
Year 1: ₹4.5 LPA
Year 3: ₹5.5–6 LPA
Year 5: ₹7–8 LPA
Switching every 2–3 years
Year 1: ₹4.5 LPA
Year 3: ₹8–10 LPA
Year 5: ₹12–18 LPA
Same engineer.
Different strategy.
Typical IT salary growth in India:
Staying in same company
Year 1: ₹4.5 LPA
Year 3: ₹5.5–6 LPA
Year 5: ₹7–8 LPA
Switching every 2–3 years
Year 1: ₹4.5 LPA
Year 3: ₹8–10 LPA
Year 5: ₹12–18 LPA
Same engineer.
Different strategy.
Unprofessional business structures often use employee attrition as a cost-cutting tool. Instead of hiring replacements, they redistribute the workload to remaining staff with zero compensation adjustment. A guaranteed recipe for burnout and high turnover.
Another day, another mass layoff headline.
This time it’s Intuit cutting around 3,000 jobs.
Feels like tech companies have turned layoffs into monthly updates now.
The last couple of weeks have honestly been exhausting to watch.
ChatGPT can now connect to bank accounts n track spending, savings, subscriptions, n investments
Good thing
It can help people manage money, budget better, n understand spending habits easily
Bad thing
Giving AI access to financial data feels risky for users
Source-indiatoday
Pro tip: don’t be scared if you don’t know everything.
Be confident, ask important questions, and trust yourself to figure things out later.
Most things are learnable.
I think AI is quietly creating a dangerous generation of software engineers.
And nobody is talking enough about it.
A lot of developers today can build things faster than ever before.
But fewer developers actually understand what they are building.
That’s the scary part.
I recently noticed something while talking to students and engineers.
People can now generate:
0. React components
1. APIs
2. backend architecture
3. SQL queries
4. Docker configs
…within seconds.
But the moment something breaks unexpectedly, many get completely stuck.
Because debugging requires understanding.
And understanding takes struggle.
Earlier, when we used to build things manually, we would suffer through:
0. weird errors
1. broken deployments
2. dependency hell
3. state management bugs
4. performance bottlenecks
At that time it felt painful.
But that pain was actually building engineering intuition.
AI removes a lot of friction.
Which is amazing.
But it can also remove the learning.
And I think this is where the gap between “developers” and “engineers” will become very visible over the next few years.
The developers who survive AI won’t be the ones who can generate code fastest.
It will be the ones who can:
0. think deeply
1. debug systems
2. make engineering decisions
3. understand tradeoffs
4. simplify complexity
Code generation is becoming cheap.
Judgement is becoming expensive.
That’s probably the biggest shift happening in software engineering right now.
A 3 LPA job is not the end of your career.
You learn real work culture, teamwork, deadlines, n how IT industry actually works
You figure out what u enjoy, what you don’t, n build discipline along way.
And with consistency, growth from 3 LPA to 10–15+ LPA is absolutely possible.
PM Modi urged citizens to work from home.
In the IT industry, it’s completely possible and often even more productive.
So what’s really stopping companies from embracing it fully?
@krunalbuilds Simple reply:Postgres JSONB is awesome for most apps, but NoSQL wins for massive scale, easy horizontal sharding, and when you need ultimate schema flexibility without any SQL overhead.