Your first LangChain agent
LangChain’s create_agent runs the Part 1 loop for you. @tool turns typed, documented functions into tools, and response_format returns a validated Pydantic object instead of free text, so your app gets fields it can trust.
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LangChain’s create_agent runs the Part 1 loop for you. @tool turns typed, documented functions into tools, and response_format returns a validated Pydantic object instead of free text, so your app gets fields it can trust.
An agent is a language model in a loop: it asks for a tool, your code runs it, the result goes back, and the loop repeats until it can answer. You build one in about 60 lines of plain Python with the OpenAI SDK and see the exact messages that every framework produces underneath.
A hands-on guide to securing app identities and AI API keys with credential inventory, a scoped broker, budget reservations, agent egress controls, and evidence-driven detection.
A developer-focused guide to AI accelerator chips: GPUs, TPUs and NPUs, model memory, LLM bottlenecks, benchmarking, and cost per useful result.
And why Let’s Encrypt is moving toward validating domains from more locations. Imagine someone obtaining a perfectly valid HTTPS certificate for your domain. Your servers haven’t been compromised. Your private key hasn’t been stolen. Nobody has changed your DNS records. Yet a trusted Certificate Authority (CA) has somehow been convinced that an attacker controls your … Read more
Why integrate Atlassian JIRA MCP Server with Cursor? Atlassian JIRA MCP Server in Cursor lets developers connect Jira and Confluence directly into their coding environment using the Model Context Protocol (MCP). This integration eliminates context switching, allowing you to query issues, update tasks, and fetch documentation without leaving Cursor. This guide shows you how to … Read more
Kafka was initially developed by LinkedIn in 2011 to address the demand for high-velocity event ingestion and processing. Traditional messaging paradigms, such as publish-subscribe brokers and queue-based architectures, struggled with handling large-scale, fault-tolerant event streams. Kafka addressed these limitations with a distributed commit log model, ensuring persistent, replayable, and highly scalable message distribution.
So It happened today that I got the error below while running “az login” command in Windows Terminal. Authentication failed against tenant <-guid-> ‘Default Directory’: (pii). Status: Response_Status.Status_InteractionRequired, Error code: 3399614476, Tag: 557973645 The az login command was ran everytime, I was prompted to select an account I had logged in previously but then the … Read more
Imagine building a chat application, real-time analytics dashboard, or online collaborative tool. These all require instant, reliable, and scalable communication between frontend and backend. Propeller solves this problem — an open-source platform for seamless, bi-directional real-time communication. Let’s explore what Propeller is, how it works, and why it’s a game-changer for real-time communication. What Is Propeller? Propeller … Read more
Clean code is the cornerstone of maintainable and scalable software. As developers, we strive to write code that’s not only functional but also readable and efficient. In this blog post, we’ll explore 21 essential tips for writing clean code in C# (.NET), ranging from basic principles to more advanced practices. Let’s dive in! 1. Use … Read more