Four traits that help you grow and compound over decades
- you love learning
- you are relentlessly curious
- you have a deep obsession with your craft
- you find joy in sharing what you have learnt
Satya Nadella just introduced a concept that's going to change how every company thinks about AI. He's calling it "token capital." And once you understand it, you can't unsee it.
His idea: every company now needs two types of capital.
Human capital : the knowledge, judgment, and pattern recognition of your people.
Token capital : the AI capability your company builds and owns.
Human capital doesn't become less valuable as AI grows. It becomes more valuable. Without human direction, AI just runs in circles.
The real opportunity isn't picking the best model. It's building a learning loop where your people and your AI compound together. That loop becomes your real IP.
But here's the warning nobody expected from a CEO pushing AI harder than anyone.
He compared what's happening now to globalization. GDP looked fine on the surface but entire economies were hollowed out by outsourcing.
He's saying don't let that happen with AI where a few models capture all the value while industries get their knowledge commoditized underneath them.
His line: "You can offload a task. You can offload a job. But you can never offload your learning."
The companies that build the learning loop early will have an advantage that's nearly impossible to replicate. Regardless of which model is on
Something strange is happening in tech.
CTOs of billion dollar companies are quitting to take IC roles at Anthropic.
Workday CTO -> MTS (Mar 2026)
You[.]com CTO -> MTS (Mar 2026)
Instagram CTO -> MTS (Jan 2026)
Box CTO -> MTS (Dec 2025)
Super[.]com CTO -> MTS (July 2025)
Adept AI CTO -> MTS (Jan 2025)
The mission is that real.
The Claude Code hackathon is back for Opus 4.7.
Join builders from around the world for a week with the Claude Code team in the room, with a prize pool of $100K in API credits.
Apply by Sunday: https://t.co/5MCkMtP5ti
If youโre in your first 0โ5 years of work, upward management is one of the underrated skill you should learn.... not politics... not buttering up your boss.
Itโs learning to manage the relationship so your growth is not left to luck.
The best software engineers I know all have this in common:
โข Start coding with big dreams at 21.
โข Get rejected by companies at 22.
โข Take the job they could get at 23.
โข Spend 2 years fixing bugs and writing CRUD APIs.
โข Feel behind when others post big salaries online.
โข Try to switch at 26.
โข Fail interviews at 27.
โข Realize tutorials were not enough.
โข Finally learn CS fundamentals, system design, databases, networking, and how real systems break.
โข Start building better at 29.
โข Become dangerous at 31.
And change their familyโs future by 35.
With their sharpest years still ahead.
Software engineering is not a sprint.
It is a long game of skill, patience, and staying in the fight.
Keep going.
GitHub stores millions of repositories the same way they exist on our local machine - literally as git repositories. Nothing very special.
Instead of one copy, GitHub stores at least three copies of every single repository to make sure the code is never lost. This replication system is called Spokes at GitHub.
When we push code, the write is not accepted unless a strict majority of replicas - at least 2 out of 3 - can successfully apply the change and produce the same result.
Interestingly, the system watches real application traffic to detect failures. If three requests in a row fail to one of the servers for a repository, that server is marked offline, and traffic is routed to other replicas within seconds. No heartbeats needed - just monitoring the real user operations.
Each replica lives in a different rack. When an entire rack goes down, repositories remain available because the other copies live elsewhere. And when repairs are needed after a server failure, the whole cluster helps out - the bigger the cluster, the faster it recovers.
Spokes refuses write operations that it cannot commit to at least two places. This ensures that when your push succeeds, your code is already safe.
This is also why GitHub rejects pushes during partial outages. Reads might still work, but writes fail because the system refuses to risk losing data.
This is pretty much how GitHub stores repositories and, more importantly, prefers a simple design with consistency over durability and availability.
Hope you also found it interesting.
Bangalore has so much to offer.
Yet I see so many people not really leveraging what this city gives you. The people, the connections, the meetups, and the ease of finding your kind of community.
From tech to hobbies.
From beginner-friendly communities to serious ones.
From sports and dance to biking, running, and everything in between.
Bangalore is not just a place to hustle.
It is a place to live the life you once wanted but were scared to start.
Leverage the city, not just for work, but to actually enjoy life.
Claude Code's plan mode now auto-clears context when you accept a plan.
Why it matters: By the time you finish planning, your context window is stuffed with old file explorations, a ton of back-and forth, and potentially irrelevant data.
Your plan file IS the context.
We just open sourced the code-simplifier agent we use on the Claude Code team.
Try it: claude plugin install code-simplifier
Or from within a session:
/plugin marketplace update claude-plugins-official
/plugin install code-simplifier
Ask Claude to use the code simplifier agent at the end of a long coding session, or to clean up complex PRs. Let us know what you think!
Ek hi to kaam tha college ke paas ki foundation subject pdha do, vo b na ho rha inse.
Networking, OS ye to krwa dete, baaki to chalo students b expect nhi krte ab.
Tum bs NOC dene me nkhre kro n attendance ka jaap kro. Na fest krwane ka fund dete, upr se attendance me relaxation b nhi dete.
Ab koi mere paas koi benefit of doubt nhi bacha inke liye.
When I started working in corporate,
I felt like a fraud.
Every day.
I would sit in meetings and think,
โWhy am I even here?โ
โEveryone knows more than me.โ
โWhat if they find out Iโm not that good?โ
There was so much to learn.
So many tools.
So many smart people.
And the more I learnt,
the more I realised how little I knew.
It felt like a black hole.
No end.
No clarity.
Only self-doubt.
I used to go back home feeling heavy.
Questioning myself.
Overthinking everything.
I thought I was behind.
I thought I wasnโt made for this.
I thought maybe I got lucky.
What I didnโt know back then was this:
Almost everyone feels this way.
Especially the ones who actually care.
Imposter syndrome doesnโt mean youโre bad.
It means youโre growing.
With time, I understood one thing.
You donโt escape that feeling in one day.
You outgrow it slowly.
By showing up every day.
By learning even when it feels overwhelming.
By accepting that itโs okay to not know everything.
Today, when I look back,
that phase changed me.
It made me humble.
It made me curious.
It made me consistent.
If youโre feeling lost right now,
if you feel like everyone is ahead of you,
if you feel stuck in that black holeโฆ
Trust me, youโre not alone.
And youโre not failing.
Youโre just in the middle of your growth.
Save this post.
Read it again when self-doubt hits.
Youโll be fine.
Just donโt stop giving your best at every moment.
Cheers,
Akshay Saini
#YouArePowerfulThanYouThink
๐ ๐ฑ๐ผ๐ป'๐ ๐๐ฟ๐ถ๐๐ฒ ๐ฐ๐ผ๐ฑ๐ฒ ๐ฎ๐ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐ฎ๐ป๐๐บ๐ผ๐ฟ๐ฒ. ๐ ๐ฟ๐ฒ๐๐ถ๐ฒ๐ ๐ถ๐.
๐๐ ๐ ๐ก๐ค๐ค๐ ๐๐ฉ ๐ข๐ฎ ๐๐๐๐ก๐ฎ ๐๐ค๐ข๐ข๐๐ฉ๐จ, 70-80% ๐ค๐ ๐ฉ๐๐ ๐๐ค๐๐ ๐๐จ ๐ฃ๐ค๐ฌ ๐ฌ๐ง๐๐ฉ๐ฉ๐๐ฃ ๐๐ฎ ๐ผ๐.
My role has fundamentally shifted.
โข I don't type syntax; I prompt logic.
โข I don't hunt for bugs; I review AI's suggestions.
โข I don't read legacy code; I ask AI to explain it.
A lot of engineers feel guilty about this. They feel like they are "cheating."
They aren't. They are evolving.
๐ ๐ผ๐ป๐ฐ๐ฒ ๐ฎ๐๐ธ๐ฒ๐ฑ ๐ฎ ๐๐ฒ๐ป๐ถ๐ผ๐ฟ ๐น๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ ๐๐ต๐ฒ ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป ๐ฒ๐๐ฒ๐ฟ๐๐ผ๐ป๐ฒ ๐ถ๐ ๐ฎ๐ณ๐ฟ๐ฎ๐ถ๐ฑ ๐ผ๐ณ: "๐ช๐ถ๐น๐น ๐๐ ๐ฟ๐ฒ๐ฝ๐น๐ฎ๐ฐ๐ฒ ๐๐?" ๐๐ถ๐ ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐๐๐๐ฐ๐ธ ๐๐ถ๐๐ต ๐บ๐ฒ:
"๐๐ ๐ช๐ด ๐ข ๐ฎ๐ถ๐ญ๐ต๐ช๐ฑ๐ญ๐ช๐ฆ๐ณ, ๐ฏ๐ฐ๐ต ๐ข ๐ณ๐ฆ๐ฑ๐ญ๐ข๐ค๐ฆ๐ฎ๐ฆ๐ฏ๐ต. ๐๐ง ๐บ๐ฐ๐ถ ๐ถ๐ด๐ฆ๐ฅ ๐ต๐ฐ ๐ฅ๐ฐ 1๐น ๐ธ๐ฐ๐ณ๐ฌ ๐ช๐ฏ ๐ข ๐ธ๐ฆ๐ฆ๐ฌ, ๐ต๐ฉ๐ฆ ๐ฆ๐น๐ฑ๐ฆ๐ค๐ต๐ข๐ต๐ช๐ฐ๐ฏ ๐ช๐ด ๐ฏ๐ฐ๐ธ 4๐น ๐ธ๐ฐ๐ณ๐ฌ ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐ด๐ข๐ฎ๐ฆ ๐ธ๐ฆ๐ฆ๐ฌ. ๐๐ฐ ๐ค๐ฐ๐ฎ๐ฑ๐ข๐ฏ๐บ ๐ธ๐ข๐ฏ๐ต๐ด ๐ต๐ฐ ๐ฎ๐ฐ๐ท๐ฆ ๐ฃ๐ข๐ค๐ฌ๐ธ๐ข๐ณ๐ฅ."
The bar for "productivity" has moved.
If you refuse to use AI because you are a "purist," you aren't noble. You are just slow.
๐๐ ๐๐ถ๐น๐น ๐ป๐ผ๐ ๐ฟ๐ฒ๐ฝ๐น๐ฎ๐ฐ๐ฒ ๐๐ผ๐. ๐๐๐ ๐ฎ๐ป ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ ๐ฑ๐ผ๐ถ๐ป๐ด 4๐ ๐๐ต๐ฒ ๐๐ผ๐ฟ๐ธ ๐๐๐ถ๐ป๐ด ๐๐... ๐ฑ๐ฒ๐ณ๐ถ๐ป๐ถ๐๐ฒ๐น๐ ๐๐ถ๐น๐น.
> Docker is Go
> Kubernetes is Go
> Prometheus is Go
> Grafana is Go
> Terraform is Go
> Vault is Go
> Helm is Go
> CockroachDB core is Go
> InfluxDB is Go
> ArgoCD is Go
> gRPC is Go
> Containerd is Go
> Cloudflare edge systems are Go
> Google SRE tooling is Go
> Uber infrastructure is Go
> Dropbox backend is Go
> Twitch backend is Go
> PayPal core services are Go
> Shopify backend is Go
> DigitalOcean control plane is Go
> CNCF ecosystem is Go
> Modern cloud infrastructure runs on Go
> Go isnโt flashy but itโs what runs the internet now.
- Still not convinced to learn Golang ?