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The Latest from Our Team

    Specialized Models Beat General LLMs (Sometimes)

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    Here’s a question I’ve been chewing on lately: could a custom-built model for JavaScript/TypeScript actually outperform a flagship, general-purpose LLM while using a fraction of the memory and cost? For a lot of real-world developer tasks, the answer in early 2026 is yes. Now, I’m not claiming specialists win everywhere. That would be silly. But…

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    Pulling Data from Microsoft Access to CSV: What I Built and Why

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    I’ve always loved working with plain old CSVs for my analysis and scripting needs. They are simple, portable, and just work everywhere. So when I got handed a Microsoft Access database that I needed to break out into individual CSV files, I figured I’d whip up a little toolchain to handle it reliably on my…

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    Putting a UI on My Access-to-CSV Converter

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    Once I got the command-line version working exactly how I wanted, I noticed I was doing the same thing over and over: pick an Access file, choose an output folder, hit run, then open Finder to dig through the CSVs. It worked great, but it felt a little clunky—especially if I wanted to share it…

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    Agent Chat using LangChain Part 3 – Fun Examples

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    Now that we’ve covered the technical implementation (see Part 1 and Part 2), let’s see what this agent can actually do. Here are three examples that demonstrate how natural language interactions can replace tedious UI workflows—each one progressively more powerful. Example 1: Quick Lookups The simplest use case is finding information without navigating through menus….

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    Agent Chat using LangChain Part 2 – Token Streaming with WebSockets

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    We all dislike typing a message to an AI agent and then just staring at a spinning loader for ten seconds with zero feedback. It feels slow and lifeless. In part 2 of this series, I’m going to walk you through how I added proper token streaming over WebSockets so users see the agent’s response…

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    Agent Chat using LangChain, Part 1 – Tools and Memory

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    There’s something really satisfying about building an AI agent that can actually take action in your application. In this post, I’ll walk you through how I integrated LangChain tools into my NestJS backend to create an agent capable of searching contacts, creating events, sending messages, and handling a bunch of other tasks. The Tech Stack…

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    Combat Agents: Automating Volatility-Based Decomposition

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    At Don’t Panic Labs, we frequently discuss Volatility-Based Decomposition (VBD). It is an architecture practice that groups and boundaries systems by where change occurs. Instead of organizing purely by domains or technical layers, VBD identifies parts of the codebase that change together or change frequently. We use those patterns to inform seams, ownership, and stabilization…

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    Building Agents with LangChain Agents

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    In previous posts, we have explored various ways to interact with LLMs. Today, I want to walk through creating agent_demo.py, a small but capable multi-agent application. Why is this important? Most people stop at simple prompts. But real power comes when we chain these interactions together to solve complex workflows. We aren’t just asking a…

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    The Don't Panic Labs team at the Lincoln Chamber of Commerce’s 2025 Celebrate Business Awards.

    Don’t Panic Labs Named Recipient the Lincoln Chamber of Commerce 2025 Cornerstone Award

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    On December 11, software innovation company Don’t Panic Labs was officially named the recipient of the 2025 Cornerstone Award at the Lincoln Chamber of Commerce’s annual Celebrate Business Awards Reception at the Lincoln Marriott Cornhusker Hotel. The Cornerstone Award is one of the Chamber’s highest honors, highlighting a business that demonstrates exceptional leadership in the…

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    The Price Per Token Is Dropping. Will It Stay That Way?

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    LLMs are at the heart of the current AI movement. An LLM’s ability to respond to prompts with human-like responses is astonishing. All of our first interactions with ChatGPT in 2022 were amazing. The first time I used GitHub Copilot to generate a basic database access method, it was clear that something significant was about…

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