digitalcourage.social

Alvin Ashcraft 🐿️Building an MCP Server for Microsoft Learn | by Chris Noring.<a href="https://techcommunity.microsoft.com/blog/azuredevcommunityblog/building-an-mcp-server-for-microsoft-learn/4423446" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://techcommunity.microsoft.com/blog/azuredevcommunityblog/building-an-mcp-server-for-microsoft-learn/4423446</a> <a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://hachyderm.io/tags/microsoftlearn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#microsoftlearn</a> <a href="https://hachyderm.io/tags/mcp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mcp</a> <a href="https://hachyderm.io/tags/modelcontextprotocol" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#modelcontextprotocol</a> <a href="https://hachyderm.io/tags/aiagents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aiagents</a>

Alvin Ashcraft 🐿️I built my first MCP server. Here's what I learned. | by Matt Lacey<a href="https://www.linkedin.com/pulse/i-built-my-first-mcp-server-heres-what-learned-matt-lacey-13zme/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.linkedin.com/pulse/i-built-my-first-mcp-server-heres-what-learned-matt-lacey-13zme/</a> <a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://hachyderm.io/tags/mcp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mcp</a> <a href="https://hachyderm.io/tags/aiagents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aiagents</a> <a href="https://hachyderm.io/tags/modelcontextprotocol" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#modelcontextprotocol</a> <a href="https://hachyderm.io/tags/xaml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#xaml</a> <a href="https://hachyderm.io/tags/dotnet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dotnet</a>

.:\dGh/:.How much far are we from a small city to be governed by an <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a>?Imagine having a literal operative system based on <a href="https://mastodon.social/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a> that controls the city functioning and decision making: from traffic implementation to public hearing.I have <a href="https://mastodon.social/tags/WatchDogs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#WatchDogs</a> flashbacks, but the point which city will end up being the test bed for what would be considered "the future" by the media.<a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ArtificialIntelligence</a> <a href="https://mastodon.social/tags/City" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#City</a> <a href="https://mastodon.social/tags/Politics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Politics</a>

eicker.news ᳇ tech news<a href="https://eicker.news/tags/Amazon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Amazon</a> expects to <a href="https://eicker.news/tags/reduce" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reduce</a> its corporate <a href="https://eicker.news/tags/workforce" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#workforce</a> due to <a href="https://eicker.news/tags/efficiencygains" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#efficiencygains</a> from <a href="https://eicker.news/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a>: <a href="https://eicker.news/tags/AIagents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIagents</a> will change how people <a href="https://eicker.news/tags/work" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#work</a> and live, enabling faster <a href="https://eicker.news/tags/innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#innovation</a>. <a href="https://www.nbcnews.com/business/business-news/amazon-expects-cut-corporate-jobs-due-to-ai-artificial-intelligence-rcna213552?eicker.news" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.nbcnews.com/business/business-news/amazon-expects-cut-corporate-jobs-due-to-ai-artificial-intelligence-rcna213552?eicker.news</a> <a href="https://eicker.news/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://eicker.news/tags/media" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#media</a> <a href="https://eicker.news/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a>

Towards Data Science📣 Stop demoing magic and start sharing the schematics behind your <a href="https://hachyderm.io/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a>. Towards Data Science invites articles that unpack prompt orchestration strategies, multi tool routing logic, and autonomous task queues, complete with reproducible, step by step code so data professionals can rebuild every component line by line. ✍️💻 <a href="https://bit.ly/TDSContributor" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://bit.ly/TDSContributor</a>

Inautilo<a href="https://mastodon.social/tags/Design" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Design</a> <a href="https://mastodon.social/tags/Explorations" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Explorations</a> Where should AI sit in your UI? · Emerging design patterns for surfacing AI <a href="https://ilo.im/164jff" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://ilo.im/164jff</a>_____ <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://mastodon.social/tags/AiAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AiAgents</a> <a href="https://mastodon.social/tags/Interactivity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Interactivity</a> <a href="https://mastodon.social/tags/DesignPatterns" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DesignPatterns</a> <a href="https://mastodon.social/tags/ProductDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ProductDesign</a> <a href="https://mastodon.social/tags/UxDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#UxDesign</a> <a href="https://mastodon.social/tags/UiDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#UiDesign</a> <a href="https://mastodon.social/tags/SpatialDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpatialDesign</a> <a href="https://mastodon.social/tags/WebDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#WebDesign</a>

Cap PuckhaberMarketers are using AI to churn out full campaigns—blogs, videos, product designs—in hours. I broke down how they do it, what tools to use, and how you can start today: 👇 <a href="https://cappuckhaber.com/blog/f/how-ai-can-automate-and-content-creation-for-marketing" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://cappuckhaber.com/blog/f/how-ai-can-automate-and-content-creation-for-marketing</a><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://mastodon.social/tags/Marketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Marketing</a> <a href="https://mastodon.social/tags/ContentCreator" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ContentCreator</a> <a href="https://mastodon.social/tags/DigitalMarketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DigitalMarketing</a> <a href="https://mastodon.social/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a> <a href="https://mastodon.social/tags/CapPuckhaber" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CapPuckhaber</a> <a href="https://mastodon.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ChatGPT</a> <a href="https://mastodon.social/tags/Business" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Business</a>

Miguel Afonso Caetano"Building on the recent empirical work of Kwa et al. (2025), I show that within their suite of research-engineering tasks the performance of AI agents on longer-duration tasks can be explained by an extremely simple mathematical model — a constant rate of failing during each minute a human would take to do the task. This implies an exponentially declining success rate with the length of the task and that each agent could be characterised by its own half-life. This empirical regularity allows us to estimate the success rate for an agent at different task lengths. And the fact that this model is a good fit for the data is suggestive of the underlying causes of failure on longer tasks — that they involve increasingly large sets of subtasks where failing any one fails the task. Whether this model applies more generally on other suites of tasks is unknown and an important subject for further work."<a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://tldr.nettime.org/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GenerativeAI</a> <a href="https://tldr.nettime.org/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a> <a href="https://tldr.nettime.org/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AgenticAI</a> <a href="https://www.tobyord.com/writing/half-life" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.tobyord.com/writing/half-life</a>

Towards Data ScienceIs keeping your <a href="https://hachyderm.io/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a> coordinated a headache? Agentic workflows and management tools are both advancing rapidly. This week, The Variable unpacks Google’s A2A protocol and Hugging Face’s smolagents framework, featuring insights from Hailey Quach, Deborah Mesquita, Mariya Mansurova + more.📬 Subscribe for in-depth analyses, new tools, and insightful perspectives delivered weekly.<a href="https://towardsdatascience.com/how-ai-agents-talk-to-each-other/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://towardsdatascience.com/how-ai-agents-talk-to-each-other/</a>

Miguel Afonso Caetano"Multi-agent systems work mainly because they help spend enough tokens to solve the problem. In our analysis, three factors explained 95% of the performance variance in the BrowseComp evaluation (which tests the ability of browsing agents to locate hard-to-find information). We found that token usage by itself explains 80% of the variance, with the number of tool calls and the model choice as the two other explanatory factors. This finding validates our architecture that distributes work across agents with separate context windows to add more capacity for parallel reasoning. The latest Claude models act as large efficiency multipliers on token use, as upgrading to Claude Sonnet 4 is a larger performance gain than doubling the token budget on Claude Sonnet 3.7. Multi-agent architectures effectively scale token usage for tasks that exceed the limits of single agents.There is a downside: in practice, these architectures burn through tokens fast. In our data, agents typically use about 4× more tokens than chat interactions, and multi-agent systems use about 15× more tokens than chats. For economic viability, multi-agent systems require tasks where the value of the task is high enough to pay for the increased performance. Further, some domains that require all agents to share the same context or involve many dependencies between agents are not a good fit for multi-agent systems today. For instance, most coding tasks involve fewer truly parallelizable tasks than research, and LLM agents are not yet great at coordinating and delegating to other agents in real time. We’ve found that multi-agent systems excel at valuable tasks that involve heavy parallelization, information that exceeds single context windows, and interfacing with numerous complex tools."<a href="https://www.anthropic.com/engineering/built-multi-agent-research-system" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.anthropic.com/engineering/built-multi-agent-research-system</a><a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://tldr.nettime.org/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GenerativeAI</a> <a href="https://tldr.nettime.org/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a> <a href="https://tldr.nettime.org/tags/Claude" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Claude</a> <a href="https://tldr.nettime.org/tags/Anthropic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Anthropic</a>

Miguel Afonso Caetano"As AI agents powered by Large Language Models (LLMs) become increasingly versatile and capable of addressing a broad spectrum of tasks, ensuring their security has become a critical challenge. Among the most pressing threats are prompt injection attacks, which exploit the agent’s resilience on natural language inputs — an especially dangerous threat when agents are granted tool access or handle sensitive information. In this work, we propose a set of principled design patterns for building AI agents with provable resistance to prompt injection. We systematically analyze these patterns, discuss their trade-offs in terms of utility and security, and illustrate their real-world applicability through a series of case studies."<a href="https://arxiv.org/html/2506.08837v2" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://arxiv.org/html/2506.08837v2</a><a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://tldr.nettime.org/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GenerativeAI</a> <a href="https://tldr.nettime.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLMs</a> <a href="https://tldr.nettime.org/tags/PromptInjection" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PromptInjection</a> <a href="https://tldr.nettime.org/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a> <a href="https://tldr.nettime.org/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AgenticAI</a> <a href="https://tldr.nettime.org/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CyberSecurity</a>

Towards Data Science<a href="https://hachyderm.io/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a>: hype or help? Back in 2018, could they have saved Rent the Runway's fulfillment center optimization project? Hugo Ducruc unpacks a thoughtful case study. Read how human expertise, augmented by AI, ultimately delivered.<a href="https://towardsdatascience.com/what-if-i-had-ai-in-2018-rent-the-runway-fulfillment-center-optimization/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://towardsdatascience.com/what-if-i-had-ai-in-2018-rent-the-runway-fulfillment-center-optimization/</a>

Miguel Afonso Caetano"AI agents have already demonstrated that they may misinterpret goals and cause some modest amount of harm. When the Washington Post tech columnist Geoffrey Fowler asked Operator, OpenAI’s computer-using agent, to find the cheapest eggs available for delivery, he expected the agent to browse the internet and come back with some recommendations. Instead, Fowler received a notification about a $31 charge from Instacart, and shortly after, a shopping bag containing a single carton of eggs appeared on his doorstep. The eggs were far from the cheapest available, especially with the priority delivery fee that Operator added. Worse, Fowler never consented to the purchase, even though OpenAI had designed the agent to check in with its user before taking any irreversible actions.That’s no catastrophe. But there’s some evidence that LLM-based agents could defy human expectations in dangerous ways. In the past few months, researchers have demonstrated that LLMs will cheat at chess, pretend to adopt new behavioral rules to avoid being retrained, and even attempt to copy themselves to different servers if they are given access to messages that say they will soon be replaced. Of course, chatbot LLMs can’t copy themselves to new servers. But someday an agent might be able to. Bengio is so concerned about this class of risk that he has reoriented his entire research program toward building computational “guardrails” to ensure that LLM agents behave safely."<a href="https://www.technologyreview.com/2025/06/12/1118189/ai-agents-manus-control-autonomy-operator-openai/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.technologyreview.com/2025/06/12/1118189/ai-agents-manus-control-autonomy-operator-openai/</a><a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://tldr.nettime.org/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GenerativeAI</a> <a href="https://tldr.nettime.org/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a> <a href="https://tldr.nettime.org/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AgenticAI</a> <a href="https://tldr.nettime.org/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CyberSecurity</a> <a href="https://tldr.nettime.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLMs</a> <a href="https://tldr.nettime.org/tags/Chatbots" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Chatbots</a>

WinbuzzerVS Code 1.101 Becomes an 'AI-Editor' with Full MCP Integration<a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://mastodon.social/tags/VSCode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#VSCode</a> <a href="https://mastodon.social/tags/GitHubCopilot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GitHubCopilot</a> <a href="https://mastodon.social/tags/Developers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Developers</a> <a href="https://mastodon.social/tags/Microsoft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Microsoft</a> <a href="https://mastodon.social/tags/Coding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Coding</a> <a href="https://mastodon.social/tags/MCP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MCP</a> <a href="https://mastodon.social/tags/VisualStudioCode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#VisualStudioCode</a> <a href="https://mastodon.social/tags/SoftwareDevelopment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SoftwareDevelopment</a> <a href="https://mastodon.social/tags/DevTools" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DevTools</a> <a href="https://mastodon.social/tags/AIagents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIagents</a><a href="https://winbuzzer.com/2025/06/13/vs-code-1-101-becomes-an-ai-editor-with-full-mcp-integration-xcxwbn/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://winbuzzer.com/2025/06/13/vs-code-1-101-becomes-an-ai-editor-with-full-mcp-integration-xcxwbn/</a>

5h15hGo was built for developers who didn’t need complexity. The same simplicity makes it perfect for <a href="https://techhub.social/tags/AIagents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIagents</a> too 🔗 <a href="https://lucumr.pocoo.org/2025/6/12/agentic-coding/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://lucumr.pocoo.org/2025/6/12/agentic-coding/</a> <a href="https://techhub.social/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AgenticAI</a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a>

Alvin AshcraftAgents Are Your Mech Suit | by Den Delimarsky. <a href="https://buff.ly/zYpXdde" rel="nofollow noopener noreferrer" target="_blank">buff.ly/zYpXdde</a> <a class="hashtag" rel="nofollow noopener noreferrer" href="https://bsky.app/search?q=%23ai" target="_blank">#ai</a> <a class="hashtag" rel="nofollow noopener noreferrer" href="https://bsky.app/search?q=%23aiagents" target="_blank">#aiagents</a> <a class="hashtag" rel="nofollow noopener noreferrer" href="https://bsky.app/search?q=%23programming" target="_blank">#programming</a> <a class="hashtag" rel="nofollow noopener noreferrer" href="https://bsky.app/search?q=%23productivity" target="_blank">#productivity</a> <a href="https://buff.ly/zYpXdde" rel="nofollow noopener noreferrer" target="_blank">Agents Are Your Mech Suit · De...</a>

Alvin Ashcraft 🐿️Agents Are Your Mech Suit | by Den Delimarsky.<a href="https://den.dev/blog/agents/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://den.dev/blog/agents/</a> <a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://hachyderm.io/tags/aiagents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aiagents</a> <a href="https://hachyderm.io/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#programming</a> <a href="https://hachyderm.io/tags/productivity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#productivity</a>

5h15hMulti-agent systems + composable tech stacks are transforming legacy systems from blockers to enablers. With orchestration layers, agents can plug into old + new APIs alike 🔗 <a href="https://www.mckinsey.com/capabilities/business-building/our-insights/how-a-tech-start-up-tackles-legacy-systems-with-composable-tech-stacks" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.mckinsey.com/capabilities/business-building/our-insights/how-a-tech-start-up-tackles-legacy-systems-with-composable-tech-stacks</a> <a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://techhub.social/tags/agenticai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#agenticai</a> <a href="https://techhub.social/tags/aiagents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aiagents</a>

Alvin Ashcraft 🐿️AI Toolkit for VS Code June Update - Integrated evaluation, built-in agent evaluators, function calling, version management, evaluation comparison & more.<a href="https://techcommunity.microsoft.com/blog/azuredevcommunityblog/ai-toolkit-for-vs-code-june-update/4422079" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://techcommunity.microsoft.com/blog/azuredevcommunityblog/ai-toolkit-for-vs-code-june-update/4422079</a><a href="https://hachyderm.io/tags/vscode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#vscode</a> <a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://hachyderm.io/tags/aitoolkit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aitoolkit</a> <a href="https://hachyderm.io/tags/aimodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aimodels</a> <a href="https://hachyderm.io/tags/aiagents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aiagents</a> <a href="https://hachyderm.io/tags/modelcatalog" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#modelcatalog</a>

5h15h<a href="https://techhub.social/tags/Observability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Observability</a> is evolving from static dashboards to real-time, <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a>-assisted analysis, where intelligent agents collaborate with humans to diagnose and solve issues faster <a href="https://www.honeycomb.io/blog/its-the-end-of-observability-as-we-know-it-and-i-feel-fine" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.honeycomb.io/blog/its-the-end-of-observability-as-we-know-it-and-i-feel-fine</a> <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> <a href="https://techhub.social/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AgenticAI</a> <a href="https://techhub.social/tags/AIAgents" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIAgents</a> <a href="https://techhub.social/tags/MCP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MCP</a>

Recent searches

Search options

Administered by:

Server stats:

#aiagents