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๐งตList of Features ๐
Contributing to open source isn't just for 'experts'.
Fixing a typo in documentation or updating a readme is how you get your foot in the door. Everyone starts somewhere.
You would potentially end up shipping features once you cross this door ^ ๐
#opensource#devcommunity
The best way to solidify your technical knowledge is to mentor someone junior to you. ๐
When you have to explain a concept like 'dependency injection' or 'CAP theorem', you realize exactly where your gaps are.
#mentoring#devlife
Cloud costs spiraling?
Check your data transfer egress fees. ๐ธ
It's often the 'hidden' part of the bill that bites the hardest.
Sometimes, regional caching is cheaper than re-fetching data.
#cloud#devops#finops
Simplicity is the most underrated trait in system design.
We often over-engineer for traffic we don't have yet.
Build for horizontal scale, but don't add complexity unless the metrics demand it !!
#architecture#scaling#engineering
Is it time to fine-tune your own models or just prompt engineering? ๐ง
My take: Start with RAG (Retrieval-Augmented Generation) first.
Fine-tuning is usually overkill until you've maxed out your context window, or the scale is huge.
#AI#LLMs#RAG
Test coverage percentage is a vanity metric that can be gamified.
I'd rather have 60% coverage on critical business paths than 95% coverage on getters and setters.
Focus on the paths that could bankrupt your app if they fail. Same for your integration tests.
#testing#quality
Technical debt isn't always bad, but it needs a repayment plan. ๐ฆ
Don't let your short-term wins become long-term blockers. Dedicate some %age of every sprint to 'interest payments'.
#coding#agile#devlife
Observing lately, AI has made building so much easier, people have started to build duplicate or near similar products/stacks/features without thinking of reusability. IMO in near future, we would see SAAS to measure it and fix the problem.
Choosing a tech stack shouldn't take longer than building the MVP.
One of the biggest leadership failures is 'Analysis Paralysis.'
Pick the tools you know best, ship the product, and solve the scaling problems when they actually exist.
Momentum is more valuable than the 'perfect' framework.
#Leadership #Entrepreneurship #TechStack #SaaS #Startups
Transitioning from IC to Managerial path is a total shift in logic !!
Your 'output' is no longer lines of code, but the clarity of your team's roadmap.
The biggest challenge? Learning when to step back, so your team can step up.
Leadership is about removing roadblocks, not being the smartest person in the room. ๐
#EngineeringManagement #TechLeadership #SoftwareEngineering
You donโt get better by doing big things once.
You get better by:
- solving small problems daily
- reading code regularly
- fixing real bugs
- learning from mistakes
Consistency builds skill. Not intensity.
Every new layer you add to a system solves one problem and creates two more.
- more complexity
- more failure points
- harder debugging
- slower onboarding
Abstraction is powerful. Over-abstraction is often expensive.
#CodeOptimization#CodeReduction
Before adding new code, ask. Can this be:
- simplified?
- reused?
- removed?
- avoided?
Every line you add is a line you have to maintain. Less code. Less problems.
#CodeQuality#TechnicalDebt
At this point looks like Claude is literally vibe-coding products and shipping !! They launch something and quickly move on to the next.
April 17: Claude Design
April 16: Claude Opus 4.7
April 9: Claude Cowork.
I am yet to see people who are bad at something do better using AI. Mostly It's all good engineers, desginers, copywriters creating better things faster !!
#TechTrends#AIAdvances#AISuperpowers
โIf AI can write code, why AI companies are hiring more?โ
Because shipping > generating.
AI outputs code. People own outcomes.
AI follows prompts. People challenge assumptions.
AI doesnโt wake up when prod breaks. People do.
In a world full of AI-generated noise, you donโt need more code.
You need someone who makes it work.