Stan Sadokov
988 posts

Stan Sadokov
@mrnext10x
CEO @ https://t.co/q0rn19cB8g
Tallinn, Estonia Katılım Temmuz 2025
1.3K Takip Edilen201 Takipçiler
Stan Sadokov retweetledi
Stan Sadokov retweetledi

Wild.
By far the most complete Claude Skills repo yet 🤯
@Composio’s Awesome-Claude-Skills packs 100`s of ready-to-use workflows:
↳ PDF tools, changelog generation
↳ Playwright automation
↳ AWS/CDK tools, MCP builders
... and much more!
Free and open-source.
Repo in 🧵↓

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Stan Sadokov retweetledi


🚀 Check out these top Reddit posts about AI agents! Exciting discussions and innovations happening in the world of artificial intelligence. #AI #AIAgents #RedditFinds
1. agent.ai/agent
2. agent.ai/builder/agents
3. httpCheck out these top Reddit posts about AI agents! Exciting discussions and innovations happening in the world of artificial intelligence. #AI #AIAgents #RedditFinds
1. agent.ai/agent
2. agent.ai/builder/agents
3. https:gent.ai/builder/agents
3. agent.ai/agent
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Check out these AI agent resources: agent.ai/agent and agent.ai/builder/agents… out these AI agent resources: agent.ai/agent and agent.ai/builder/agents
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I just joined the waitlist for Airtop Agents - AI-powered browser and API automation! Sign up to get early access too! airtop.ai/?r=afAsk
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Stan Sadokov retweetledi

#WebexOne 2025: What’s hype vs what’s real?
Zeus Kerravala (@zkerravala) breaks down Cisco @Webex's big plays.
👉 “You can’t secure what you can’t see.”
Watch now: eu1.hubs.ly/H0nv74T0
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Stan Sadokov retweetledi

Anthropic published a new report on Context Engineering. Here are the top 10 key ideas:
1. Treat Context as a Finite Resource
Context windows are limited and degrade in performance with length.
Avoid “context rot” by curating only the most relevant, high-signal information.
Token economy is essential—more is not always better.
2. Go Beyond Prompt Engineering
Move from crafting static prompts to dynamically managing the entire context across inference turns.
Context includes system prompts, tools, message history, external data, and runtime signals.
3. System Prompts Should Be Clear and Minimal
Avoid both brittle logic and vague directives.
Use a structured format (e.g., Markdown headers, XML tags).
Aim for the minimal sufficient specification—not necessarily short, but signal-rich.
4. Design Tools That Promote Efficient Agent Behavior
Tools should be unambiguous, compact in output, and well-separated in function.
Minimize overlap and ensure a clear contract between agent and tool.
5. Use Canonical, Diverse Examples (Few-Shot Prompting)
Avoid overloading with edge cases.
Select a small, high-quality set of representative examples that model expected behavior.
6. Support Just-in-Time Context Retrieval
Enable agents to dynamically pull in relevant data at runtime, mimicking human memory.
Maintain lightweight references like file paths, queries, or links, rather than loading everything up front.
7. Apply a Hybrid Retrieval Strategy
Combine pre-retrieved data (for speed) with dynamic exploration (for flexibility).
Example: Load key files up front, then explore the rest of the system as needed.
8. Enable Long-Horizon Agent Behavior
Support agents that work across extended time spans (hours, days, sessions).
Use techniques like:
Compaction: Summarize old context to make room.
Structured Note-Taking: Externalize memory for later reuse.
Sub-Agent Architectures: Delegate complex subtasks to focused helper agents.
9. Design for Progressive Disclosure
Let agents incrementally discover information (e.g., via directory browsing or tool use).
Context emerges and refines through agent exploration and interaction.
10. Curate Context Dynamically and Iteratively
Context engineering is an ongoing process, not a one-time setup.
Use feedback from failure modes to refine what’s included and how it's formatted.

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Stan Sadokov retweetledi

Sheesh, this feels like the definitive post about context engineering.
Great job by the @AnthropicAI team clearly distinguishing prompt engineering and context engineering, and explaining how to set up an efficient context : anthropic.com/engineering/ef…

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@hebapon261 Hey @hebapon261, awesome post! What do you see as the biggest long-term impact of $PLAI on the AI x Web3 space?
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What's the most unexpected application of AI agents you've seen recently? Share your thoughts and let's discuss the future of autonomous systems! #AIagents #FutureOfAI
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