Have been experimenting with "plan and execute" agents for extending capabilities of LLM & GPT4 to consume "live" data sources. Making some awesome progress and cool demos. Check it out. I call it a "knowledge mesh" #llm #langchain #gpt4 github.com/dasiths/llm-pl…

Most application developers likely dont understand ACID transactions well, but I wonder how many believe transactions are important for preventing bugs anyway. What do you think? blog.acolyer.org/2015/09/08/out…

Legit question. What is the value of frameworks like LangChain, Autogen, crewAI, ... that basically build the same abstractions on top of a programming language that the underlying programming language already supports. For example chaining is sequential composition, agents in

Wait… what!? Fault tolerant 2PC that is simple and commits in 1RTT? 🤯 If you missed Cjen1 fantastic talk in #eurosys24 (#papoc24) definitely check the paper bit.ly/U2PCp

As long as AI systems are trained to reproduce human-generated data (e.g. text) and have no search/planning/reasoning capability, performance will saturate below or around human level. Furthermore, the amount of trials needed to reach that level will be far larger than the

I wrote about a simple pattern you can follow when developing #LLM apps to prevent a certain class #prompt injection attacks with regards to user enumeration when using tools. Examples using #langchain. dasith.me/2024/05/03/llm…

Highly requested docker file feature coming in the next version of aspire github.com/dotnet/aspire/… #dotnet #aspire

My team recently concluded a project that used #promptflow. There were some learning around optimizing for throughput and latency. We developed an awesome little throughput testing kit for pf-serve and contributed it to the Promptflow OSS repo. github.com/microsoft/prom…

Ah Stephen Toub’s annual .NET performance post is here! devblogs.microsoft.com/dotnet/perform… #dotnet

My team have been working with #PromptFlow recently and we did some benchmarking of pf-serve to find throughput problems. I wrote up a blog post with our findings here. devblogs.microsoft.com/ise/promptflow…

I'm really excited for the idea behind Anthropic's Model Context Protocol (#MCP) but have some reservations about the execution. There are some limitations that make it a non starter for enterprise right now. One of those is Authn/Authz. github.com/modelcontextpr…

This is a little experiment with #Autogen I did a while back to see how well it can be integrated with #MCP servers. I used the SelectorGroupChat pattern with each MCP server represented by an expert agent. github.com/dasiths/llm-pl…

#dapr-agents let developers design, test, and deploy agents that integrate seamlessly as collaborative services in larger systems, without reinventing microservices. I've done some experiments here. github.com/dasiths/llm-pl…

I've been doing some vibe coding experiments recently and came up with this pattern I call "breadcrumbs" that's giving me consistent results. The Breadcrumb Protocol is designed to help you vibe code by creating a shared scratchpad. youtu.be/etYG-6-9Mlk

I’ve been exploring hypervelocity engineering workflows with AI agents like #GitHub #Copilot, and one fundamental challenge continues to surface: maintaining shared context alignment between developers and AI. How do we solve it? dasith.me/2025/04/02/vib…

Security vulnerability assessment (VEX) using #GitHub #Copilot and #Trivy #MCP server. github.com/dasiths/ai_gen… 🔍 Runs Trivy security scans 🧠 Analyzes your actual code for exploitability 📊 Generates comprehensive VEX reports 💡 Provides clear remediation guidance

Just launched PromptyDumpty - a universal package manager for AI agent artifacts! 📦 Install & share prompts across #coding #agents 🔄 One package format, works everywhere 🎯 Auto-detects your #AI agent 🧹 Clean install/uninstall tracking Learn more 👉 dumpty.dev