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Codez
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Codez
@0xCodez
Content creator | AI researcher & builder | AI insights from 2030 | @zscdao
San Francisco Katılım Mayıs 2026
98 Takip Edilen22.2K Takipçiler

LangChain founder:
"Context windows are larger, but they're still not infinite. At some point you need to compact.
Context engineering describes everything we've done at LangChain without knowing that term existed."
In 40-minute video, LangChain founder reveals why context is the real skill behind agents.
compaction + file systems + memory = context engineering for long-horizon agents.
Watch the interview, then save the framework below.
Carnage@0xCarnagee
English

Andrew Ng just released a 2-hour course on building agentic skills from scratch with Anthropic:
• 00:00 – How to build agent skills with Claude
• 22:32 – Claude pre-built skills for AI agents
• 41:07 – Agentic skills vs tools, MCP, subagents
• 01:06:06 – Skills for long-running agents
This 2-hour watch will replace 10 paid courses on building agents, by Anthropic themselves.
Watch it today, then read how to build self-improving agentic systems in the article below.
Codez@0xCodez
English

Andrew Ng just dropped a 2-hour course on building self-improving agentic systems from scratch:
• 02:23 – Introduction to AI agents
• 14:35 – Agentic workflows & design patterns
• 55:50 – Practical tips for building agents
• 01:22:53 – Self-improving agents (evals, loops)
• 01:32:42 – Multi-agentic systems
This 2-hour watch is worth more than 10 paid agentic courses on the internet.
Watch it today, then read how to build self-improving agents with Horizon in the article below.
Horizon@horizon_trade_x
English

Anthropic Head of Engineering:
"You prompt agents. The people ahead turned them into infrastructure that works while they sleep."
In 16 minutes, three Anthropic leads show the infrastructure your agents are missing, and the exact mistake you make.
1:00 -Claude Managed Agents in production
3:00 - thinner harnesses and adversarial agent pairs
8:20 - the real adoption barriers: security, compliance, evals
9:15 -how to actually measure agent ROI
12:45 - failure modes: hyper independence and sprawl
13:30 - agents as an invisible substrate
Watch it, then save the exact config below👇
Codez@0xCodez
English

Andrej Karpathy just dropped a 6-hour course on how to build LLMs from scratch:
• 00:00 - Deep dive into LLMs like ChatGPT
• 03:31:23 - Building ChatGPT from scratch in live
• 05:27:43 - How to use LLMs (Karpathy method)
This course will replace a $90K Stanford LLM master’s degree.
Start watching today, then read how to become an AI engineer in article below.
Clodex@0xClodex
English

@RetroCoderX Yeah, they just released a Stanford course for free, basically.
English

@0xCodez Karpathy really said here's a Stanford degree for free
English

@de1lymoon Damn this is crazy system ! Will need to run the same. Thx for the share bro
English

1 KNOWLEDGE GRAPH + CODE + SOPs + EMPLOYEE DATA = THE $10,000 COMPANY BRAIN MOST TEAMS ARE MISSING
Most users store everything in folders, docs and spreadsheets. Then nobody knows how the pieces connect
From 0:08 this setup turns the whole company into a visual knowledge graph:
• code is linked to projects
• projects are linked to agent teams
• agent teams are linked to SOPs
• SOPs are linked to workflows
• workflows are linked to employees
• employees are linked to skills, roles and company data
The graph shows what normal folders hide: who owns what, which systems depend on each other, what process drives each task, and where the missing context lives.
The goal is not to make a pretty map. It is to build a second brain for your company.
Bookmark this before building your AI company brain
NO1ennn@N01ennn
English

Andrej Karpathy just dropped a 1-hour breakdown of what AI work looks like in 2026:
• 01:00 - Why he barely writes code manually anymore
• 09:20 - His “Dobby” agent finds smart-home devices and builds a control dashboard
• 17:10 - AutoResearch: agents testing research ideas without humans slowing the loop
• 29:20 - Why models can write CUDA but still fail at jokes
• 44:46 - Why open source matters when frontier AI gets centralized
This is not a podcast about better prompting.
It is a podcast about the job moving up one layer.
The human stops being the person typing code and becomes the person designing loops, giving context, checking outputs and deciding when the agent is wrong.
That is exactly why the article matters.
Prompting gets you an answer.
Loops get you work done while you are not touching the keyboard.
Nekt0@Nekt_0
English

HE STARTED TRADING FROM A HARVARD DORM ROOM WITH A SATELLITE DISH BOLTED TO THE ROOF. TODAY HE IS WORTH AROUND $45 BILLION.
Ken Griffin built Citadel into a hedge fund managing roughly $69 billion, starting from a college room wired for live market data.
Citadel Securities became one of the biggest market makers in the world, handling a massive share of US retail stock trades every day.
in his strongest years running the fund, his personal earnings reportedly landed between $1.5 billion and $4 billion a year.
the entire empire traces back to a student who installed a satellite dish because his dorm room did not have access to a proper trading terminal.
bookmark this before the next “you need connections to start” excuse.
Ridark@ridark_eth
English




