A GOOGLE ENGINEER JUST RELEASED A 421-PAGE AI PLAYBOOK FOR FREE.
The kind of document people would happily pay $2,000 for.
Instead, it's sitting online... completely free.
Inside:
→ Agentic workflows
→ Multi-agent systems
→ Production-ready architectures
→ Real code, not theory
Most AI courses became outdated the moment this dropped.
If you're building with AI in 2026, this is required reading. 👇
Microsoft just banned its own engineers from using AI.
The tool was literally costing MORE than the humans it was supposed to replace.
They lied to you about AI adoption and now the whole narrative is blowing up:
Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it.
Engineers loved it and adoption exploded. But then the invoices arrived.
Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead.
The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much.
Uber's story is even worse...
Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April.
Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems.
Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session.
The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money.
Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote:
"For my team, the cost of compute is far beyond the costs of the employees."
This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans.
Think about what this means for the entire AI narrative.
Every CEO on every earnings call for the past two years has said the same thing:
AI will make us more efficient, reduce headcount, and cut costs.
The stock market rewarded every company that said it.
Fired workers, stock goes up. Announced AI adoption, stock goes up.
But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill.
Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools.
Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible.
Both companies are spending hundreds of billions on AI infrastructure this year alone.
And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control.
The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP.
This is the gap nobody on Wall Street is pricing in.
$725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work.
What do you think?
Google Cloud AI engineer just showed how they go from idea to deployed app at Google in 30-minutes using Claude.
26-minutes. free. by Google AI team.
one person + Claude + Google Cloud = a full engineering org running on a laptop.
worth more than any $500 vibe-coding course.
LeetCode is dead.
Developers don't write code line-by-line anymore. They orchestrate AI agents working in parallel, review AI-generated code, and make architectural decisions.
That's the job now.
But most interview processes haven't caught up. They still test algorithm memorization instead of AI fluency, code review, and judgment.
We're building assessments for next-gen hiring that mirror how developers actually work. Here's how we think about it:
Wife explaining her husband's job to her close friend.
Wife: "He sells software to companies."
Her friend: "Oh nice, like apps?"
Wife: "No. Big software. For running whole businesses."
Friend: "Oh, like Microsoft?"
Wife: "No. A German company. SAP."
Friend: "What's SAP?"
Long pause.
Wife: "Well.... It's… hard to explain. Basically he flies somewhere, finds whats broken in their business, spends 18 months with fixing it, and then everyone panics on this thing called go-live or something."
Friend: "And they pay him for that?"
Wife: "Sometimes they fire him first. Then they call him back."
35+ years in this industry.
She nailed it in 90 seconds.
Anthropic has released a library with over 50 use cases on how to use Claude.
It covers practical examples across research, writing, coding, analysis, and everyday tasks
link in the comments
Holy Shit… China just officially cooked PowerPoint
Kimi just did in 2 mins what designer charge $10k for.
Kimi just dropped Agentic Slides, and it's powered by Nano Banana Pro. Here’s how it works👇
How to be a software developer in 2025 ?
- Frontend : Gemini 3 pro
- Backend : Claude Opus 4.5
- Database Design : Claude Sonnet
- Deployment : You
- Documentation : ChatGPT
- Security : Sentinel AI
- Project Manager : Perplexity
> created JavaScript in just 10 days
> wrote the language that became the backbone of the entire web
> co-founded Mozilla and helped build Firefox
> never flexed his genius, never chased spotlight
> always focused on engineering over hype
> became CEO, resigned in 11 days due to controversy
> quietly came back with Brave browser and reshaped the privacy web
> still shipping code, still building, still proving talent doesn’t need noise
Brendan Eich - the legend people use every day but rarely give credit to.
Sam Altman admits OpenAI is in trouble after Gemini 3 release in a leaked memo, per The Information.
Google has the World's data, its own chips, and unlimited cash. Google has YouTube, Search, Gmail, Maps, and Android. Billions of users. No other company has that combo.
OpenAI is projected to lose $7B by 2028. They're burning $8.5B a year trying to compete. OpenAI's valuation is $500B but its revenue is $13B. That's a 38x revenue multiple.
Google trades at 7x revenue with actual profits.
For years, the conventional wisdom was to put 100% of your energy into building, and to ignore politics.
The problem was that those who put 100% of their energy into fighting, particularly politicians, would then take everything you’d built.
Like the video game Civilization. If you put everything into science and commerce, while the next door tribe puts it all into swordsmen and slogans, they’ll waltz over and walk over you.
The temptation is then to respond in kind, by putting 100% of your resources into fighting. This does work to ward off the initial assault. But without building you become just like your violent and unproductive neighbors. Everyone becomes a violent, dumb tribesman. And technological progress grinds to a halt.
This is the downward spiral that characterizes the darkest ages of history.
Indeed, perhaps some day, long in the past, that violent neighboring tribe that’s trying to steal from you once fell into a similar downward spiral thanks to *their* enemies. And lost their productive capacity, and had only tribal raiding to fall back on, resulting in their current state of contagious degradation. Think Planet of the Apes.
There is an answer, though. It’s 70% build, 20% write, and 10% fight. Put most energy into building, some energy into writing, and one tenth towards fighting.
Think of the 10% like your defense budget. Your technological progress provides the capital and growth to fund defense. Indeed, you may end up with >10X the resources of the vicious neighboring tribes. Because they focus solely on demonizing others rather than building up themselves. And if so, 10% of your resources will match 100% of theirs.
Then, even by devoting 100% of their energy to fighting, they won’t be able to steal. Your defense is too strong. So they’ll simply need to build their own stuff. As will other tribes. Now everyone gets wealthier, and has less reason to fight.
And this is the upward spiral.
We're hiring engineers (Fullstack, Backend, Data)
Especially keen to hear from people in the FPL community - shares appreciated
✅ Senior Fullstack Engineer (React/RN)
✅ Senior Backend Engineer
✅ Data Engineer
✅ Delivery Manager
See my profile for link to full job specs
My dad just texted me saying he bought his first crypto today
I asked him his seed phrase and he sent it over. I took his $150 of Solana and sent it to my wallet. NEVER give your seed phrase to anyone, not even your son
Lesson 1, welcome to the trenches buddy
Why even bother chunking?
Well, long documents might contain the info you need - but they probably also contain a lot of cruft.
Chunking lets you make individual parts of documents searchable. Pretty important for any RAG app.