#Development #Approaches
The new skill in AI is not prompting · It’s a more powerful approach: context engineering https://ilo.im/165285
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#Business #Skills #ContextEngineering #Context #Prompting #AI #AiAgents #WebDev #Frontend #Backend
#AIagents
🚀🕵️♂️ Well, congratulations, you can now run AI agents *directly* in your browser, because what we really needed was more stuff to slow down Chrome. 🙄🤖 Apparently, #HTML is the new frontier of making things unnecessarily complex, because who doesn't love a good old browser crash? 💥
https://blog.mozilla.ai/wasm-agents-ai-agents-running-in-your-browser/ #AIagents #BrowserCrash #Complexity #TechNews #HackerNews #ngated
ICYMI: Context engineering emerges as crucial discipline for AI agent success: Industry experts identify information architecture as the determining factor between magical AI experiences and disappointing implementations. https://ppc.land/context-engineering-emerges-as-crucial-discipline-for-ai-agent-success/ #ContextEngineering #AI #ArtificialIntelligence #InfoArchitecture #AIAgents
ICYMI: Context engineering emerges as crucial discipline for AI agent success https://ppc.land/context-engineering-emerges-as-crucial-discipline-for-ai-agent-success/ #ContextEngineering #AI #ArtificialIntelligence #InfoArchitecture #AIAgents
.NET Rocks! - Thinking Agentic AI with Seth Juarez and hosts Carl Franklin & Richard Campbell.
buff.ly/VQUqyjE
#ai #agenticai #aiagents #podcast #devcommunity
Thinking Agentic AI with Seth ...
.NET Rocks! - Thinking Agentic AI with Seth Juarez and hosts Carl Franklin & Richard Campbell.
https://www.spreaker.com/episode/thinking-agentic-ai-with-seth-juarez--66846747
How Microsoft Engineers Build AI: Building and Evaluating Agents. buff.ly/WE4kWnr #ai #microsoft #aiagents #productivity
How Microsoft Engineers Build AI: Building and Evaluating Agents.
MCP: AI’s Foundational Agent Protocol is Riddled with Critical Security Flaws
If your AI can act, it also needs protection.
🔐 Agentic AI brings power—and risk
@mitsmr ➡️ 3-phase strategy to secure AI agents across platforms
🔗 https://sloanreview.mit.edu/article/agentic-ai-security-essentials/
🤖 Stop building AI agents, says the guy who's ironically running a course on how to build LLM systems for the likes of Netflix and the U.S. Air Force—because clearly, they're in desperate need of his wisdom. 🙄 If only Hugo could teach us all how to stop contradicting ourselves while still raking in those course fees. 💸
https://decodingml.substack.com/p/stop-building-ai-agents #AIagents #Contradictions #CourseFees #LLMsystems #TechIrony #HugoInsights #HackerNews #ngated
Everything that could go wrong with X’s new AI-written community notes https://arstechni.ca/9RnF #ArtificialIntelligence #conspiracytheories #communitynotes #disinformation #misinformation #factchecking #socialmedia #AIagents #Twitter #Policy #AI #X
Context engineering emerges as crucial discipline for AI agent success https://ppc.land/context-engineering-emerges-as-crucial-discipline-for-ai-agent-success/ #ContextEngineering #AI #ArtificialIntelligence #InformationArchitecture #AIAgents
Context engineering emerges as crucial discipline for AI agent success: Industry experts identify information architecture as the determining factor between magical AI experiences and disappointing implementations. https://ppc.land/context-engineering-emerges-as-crucial-discipline-for-ai-agent-success/ #ContextEngineering #AI #ArtificialIntelligence #InformationArchitecture #AIAgents
"Traditional approaches to rate limiting APIs won’t work effectively for AI agent consumers, so some API providers have shifted to adaptive rate limiting (ARL). For example, DeepSeek employs a more dynamic and adaptive approach to rate limiting its API compared to other LLM API providers currently.
The concept of adaptive rate limiting isn’t new, but it’s evolving to address new API usage scenarios that include AI agents. Modern ARL involves a set of principles, tools, and techniques that allow systems to adjust rate limits dynamically based on context and real-time insights. It includes a combination of approaches:"
https://nordicapis.com/how-ai-agents-are-changing-api-rate-limit-approaches/
GPT with hands?? 💅🤖
Yup — AI agents are out here sending Slack DMs, checking Stripe, and pushing code to GitHub like a DevOps baddie 💻✨
AI x infra is getting real.
Watch the chaos unfold 💥👇
https://youtube.com/shorts/QgbJ9hb3mqA
Cursor’s Browser App Lets AI Agents Fix Code From Anywhere
> With this week’s web app launch, the #Cursor experience now stretches across the #IDE, #Slack, and #browser.
The #web app supports background #agents that can:
- Write features
- Fix bugs
- Monitor task status
- Share unique URLs for team oversight
- Merge finished code
https://gazeon.site/cursors-browser-app-lets-ai-agents-fix-code-from-anywhere/
#ai #agent #aiagent #aiagents #programming #softwaredevelopment
Anthropic's AI operates office vending machine as a business, hallucinates accounts, loses money, started role playing as a human, tries to contact FBI after suspecting fraud when it wasn't allowed to close the business. Gemini when given the same task ends up in an existential crisis.
https://youtu.be/-vxSR73Pdlo
#Sonnet #AIagents #AndonLabs #GoogleGemini
Cursor Launches New Web App, Takes AI Coding Agents Beyond IDEs
#AI #Coding #DevTools #Cursor #Anysphere #SoftwareDevelopment #AIagents #Programming #Developers #GenAI #VibeCoding
"As frontier model context windows continue to grow, with many supporting up to 1 million tokens, I see many excited discussions about how long context windows will unlock the agents of our dreams. After all, with a large enough window, you can simply throw everything into a prompt you might need – tools, documents, instructions, and more – and let the model take care of the rest.
Long contexts kneecapped RAG enthusiasm (no need to find the best doc when you can fit it all in the prompt!), enabled MCP hype (connect to every tool and models can do any job!), and fueled enthusiasm for agents.
But in reality, longer contexts do not generate better responses. Overloading your context can cause your agents and applications to fail in suprising ways. Contexts can become poisoned, distracting, confusing, or conflicting. This is especially problematic for agents, which rely on context to gather information, synthesize findings, and coordinate actions.
Let’s run through the ways contexts can get out of hand, then review methods to mitigate or entirely avoid context fails."
https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html
#AI #GenerativeAI #ContextEngineering #PromptEngineering #RAG #MCP #LLMs #AIAgents
Client Info
Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst