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Context Engineering #aiagents #contextengineering

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Professor Glitch

114,300 subscribers

25,300 次观看 • 4 个月前 •via TikTok

科学技术#aiagents#contextengineering
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Context Engineering #contextengineering #aiautomation #professorglitch #n8n #n8nautomation #n8nworkflow
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Context Engineering #contextengineering #aiautomation #professorglitch #n8n #n8nautomation #n8nworkflow

Professor Glitch

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Context Window LLM #professorglitch #LLM #contextwindow #aiautomation #contextengineering
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Professor Glitch

10,500 次观看 • 1 年前

Google just released a 1-hour course on “Context Engineering” for AI agents from scratch: • 00:00 - Introduction to “Context Engineering” • 03:02 - Context Engineering vs “prompting” • 16:18 - Build a context brain for your agent • 22:10 - Building agent context (tools, skills) • 29:06 - Agentic memory bank from scratch This 1-hour watch could replace a $500 course on agentic design. Watch it today, then read the full guide on Context Engineering in the article below.
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Google just released a 1-hour course on “Context Engineering” for AI agents from scratch: • 00:00 - Introduction to “Context Engineering” • 03:02 - Context Engineering vs “prompting” • 16:18 - Build a context brain for your agent • 22:10 - Building agent context (tools, skills) • 29:06 - Agentic memory bank from scratch This 1-hour watch could replace a $500 course on agentic design. Watch it today, then read the full guide on Context Engineering in the article below.

Movez

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Context Engineering explained in 5 minutes by Jess Weng.
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Context Engineering explained in 5 minutes by Jess Weng.

LangChain

12,793 次观看 • 22 天前

Context rot — why AI memory gets dumber as it grows (and the desk architecture that fixes it) #aiagents #professorglitch #aiemployee #aiautomation
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Context rot — why AI memory gets dumber as it grows (and the desk architecture that fixes it) #aiagents #professorglitch #aiemployee #aiautomation

Professor Glitch

20,100 次观看 • 3 个月前

This video by explains the fundamentals of context engineering in just 14 minutes. Context Engineering is effectively the #1 job of engineers building AI agents. do not sleep on it.
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This video by explains the fundamentals of context engineering in just 14 minutes. Context Engineering is effectively the #1 job of engineers building AI agents. do not sleep on it.

ℏεsam

75,150 次观看 • 1 年前

Free ~14 minute talk on Context Engineering tips & tricks
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Free ~14 minute talk on Context Engineering tips & tricks

Addy Osmani

29,140 次观看 • 1 年前

📹 Context Engineering & Coding Agents with Cursor From OpenAI DevDay
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📹 Context Engineering & Coding Agents with Cursor From OpenAI DevDay

Lee Robinson

159,074 次观看 • 1 年前

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.
7:51

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

Dami-Defi

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Professor Glitch

25,100 次观看 • 1 年前

94% OF ENGINEERING ORGS USE AI. ONLY 6% SCALE IT The missing link is context and governance. That’s exactly what Atlassian is going after with its new agentic engineering stack: Code Context + governed agent loops in Atlassian Jira + DX measurement. The idea is simple: make agents a native part of your engineering system instead of a side quest in a terminal. > Code Context grounds them in your architecture > Governed loops take work from backlog to pull request > DX measures the impact And the data backs up the context thesis: DX found context-rich AI teams shipped ~64% more per developer 👊 A pretty strong signal that context is becoming one of the biggest leverage points in agentic engineering.
1:00

94% OF ENGINEERING ORGS USE AI. ONLY 6% SCALE IT The missing link is context and governance. That’s exactly what Atlassian is going after with its new agentic engineering stack: Code Context + governed agent loops in Atlassian Jira + DX measurement. The idea is simple: make agents a native part of your engineering system instead of a side quest in a terminal. > Code Context grounds them in your architecture > Governed loops take work from backlog to pull request > DX measures the impact And the data backs up the context thesis: DX found context-rich AI teams shipped ~64% more per developer 👊 A pretty strong signal that context is becoming one of the biggest leverage points in agentic engineering.

Charly Wargnier ♨️

29,622 次观看 • 2 个月前

Google Engineers just showed how their AI engineers are building Context Graphs from 0% to 100%: 10% → 4:01 - how to build a Context Graph 30% → 15:00 - Graph Engineering explanation 55% → 30:00 - Agentic search Engineering 80% → 35:48 - Graph Engineering practice 100% → 47:06 - self-improving agents in graphs 54-minute Google workshop, and it’s one of the clearest hands-on examples of the shift from. Watch it today, then read the full Context Graphs Playbook below.
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Google Engineers just showed how their AI engineers are building Context Graphs from 0% to 100%: 10% → 4:01 - how to build a Context Graph 30% → 15:00 - Graph Engineering explanation 55% → 30:00 - Agentic search Engineering 80% → 35:48 - Graph Engineering practice 100% → 47:06 - self-improving agents in graphs 54-minute Google workshop, and it’s one of the clearest hands-on examples of the shift from. Watch it today, then read the full Context Graphs Playbook below.

Morty

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Witness the power of #agenticAI ✨ Watch how our agentic AI building blocks enable organizations to create context-aware #AIagents powered by their own data, transforming various industries. #CES2025 Watch the full demo▶️
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Witness the power of #agenticAI ✨ Watch how our agentic AI building blocks enable organizations to create context-aware #AIagents powered by their own data, transforming various industries. #CES2025 Watch the full demo▶️

NVIDIA AI

12,448 次观看 • 1 年前

the most intuitive context engineering is here. flowith just shipped context playground, the most liberating ai-native canvas is now live. 🎁 first 200 to like + rt + comment get free membership ($10). send screenshot via dm!
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the most intuitive context engineering is here. flowith just shipped context playground, the most liberating ai-native canvas is now live. 🎁 first 200 to like + rt + comment get free membership ($10). send screenshot via dm!

Flowith

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Everything Context Engineering & Cookoff between dex, co-founder and CEO of humanlayer, and allen. 0:12 - Meet Dex Horthy (Humanlayer) + Cooking Challenge 1:15 - Tasting Dan Dan Noodles 1:25 - How Dex Got a NASA Internship at 17 3:36 - The Origin of “Context Engineering” 6:24 - What AI “Slop” Actually Means 8:06 - From Engineer to Founder 12:54 - How Context Engineering Is Changing 15:23 - The “Dumb Zone” of Context Windows 18:59 - Will AI Replace Software Engineers? 21:27 - Chaotic Final Plating 22:00 - Taste Test: Who Cooked It Better? 24:24 - Judges Decide the Winner Look up Latent Space on Youtube, Spotify, Apple Podcasts, etc.
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Everything Context Engineering & Cookoff between dex, co-founder and CEO of humanlayer, and allen. 0:12 - Meet Dex Horthy (Humanlayer) + Cooking Challenge 1:15 - Tasting Dan Dan Noodles 1:25 - How Dex Got a NASA Internship at 17 3:36 - The Origin of “Context Engineering” 6:24 - What AI “Slop” Actually Means 8:06 - From Engineer to Founder 12:54 - How Context Engineering Is Changing 15:23 - The “Dumb Zone” of Context Windows 18:59 - Will AI Replace Software Engineers? 21:27 - Chaotic Final Plating 22:00 - Taste Test: Who Cooked It Better? 24:24 - Judges Decide the Winner Look up Latent Space on Youtube, Spotify, Apple Podcasts, etc.

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Wang Shuyi

10,416 次观看 • 10 个月前

i decided to put together all my AI engineering posts in a single pdf. it covers: > LLM foundations > prompt engineering > fine-tuning > RAG > context engineering > AI agents > MCP > optimization > deployment > eval and observability 375+ pages. download link in next tweet!
0:23

i decided to put together all my AI engineering posts in a single pdf. it covers: > LLM foundations > prompt engineering > fine-tuning > RAG > context engineering > AI agents > MCP > optimization > deployment > eval and observability 375+ pages. download link in next tweet!

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Professor Glitch

101,400 次观看 • 4 个月前

conceptually, a great idea. there's a few bugs in the calculation, but I don't know why other people haven't done this. a turn by turn context awareness enables a context engineering mindset. mastering llms is all about mastering malloc().
0:21

conceptually, a great idea. there's a few bugs in the calculation, but I don't know why other people haven't done this. a turn by turn context awareness enables a context engineering mindset. mastering llms is all about mastering malloc().

geoff

16,350 次观看 • 2 个月前