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I’m building an LLM-based platform that currently supports capabilities such as RAG pipelines, model performance tracking, and cost monitoring/optimization. My goal is to evolve this into a robust, production-grade system, and I’m trying to better understand the real-world challenges practitioners face when working with LLMs at scale. Rather than collecting generic feature requests, I’m looking for insights grounded in practical experience Specifically, I’m looking for input on: 1. Missing but critical features What are some must-have capabilities that are often overlooked when designing LLM platforms, but become essential in real-world usage? 2. Failure modes and edge cases What kinds of failure scenarios should be explicitly handled? (e.g., retrieval failures, hallucinations, latency spikes, tool/agent breakdowns, etc.) 3. Usability challenges

When debugging my application, I frequently receive the message The Wayland connection broke. Did the Wayland compositor die? Unfortunately, I am much slower than my CPU, and when reaching a breakpoint, it takes time to find out the details. Is it possible to increase the timeout value, or switch off timeout for debugging?

As the title suggests, I have been working on a cross-platform project where I want to create apps for the macOS backend programmatically (without Xcode) through a combination of C and Objective-C, similar to GLFW, Qt, wxWidgets... etc. Currently, I'm facing a problem with my application's run loop, where traditionally you would call [NSApp run] (or implicitly NSApplicationMain(argc, argv)), and have decided to implement my own running event loop (see below). @autoreleasepool { // We call `[NSApp run]` here as a workaround for menubar issues caused // by unbundled apps if (![[NSRunningApplication currentApplication] isFinishedLaunching]) { [NSApp run]; } [NSApp finishLaunching]; do { NSEvent *event = [NSApp nextEventMatchingMask:NSEventMaskAny untilDate:[NSDate distantFuture] inMode:NS

I'm searching for network hidden gems that can potentially speed up my web app. Recently, I discovered TCP Fast Open (which is amazing) and two TLS techniques: False Start and Early Data. I've gone deep into packet inspection in Wireshark to better understand the practical flow. I was lucky enough to find interesting advice in RFC7918, which says that TLS False Start can be combined with TCP Fast Open for latency improvement. However, it was disappointing to see that these two don't actually work together. Here's a plain HTTP request with TCP FastOpen: curl -qsSk -o /dev/null --tcp-fastopen http://tst.playtime.home:8888 curl -qsSk -o /dev/null --tcp-fastopen --false-start --tls-max 1.2 https:

Working with a GridDB Collection, device log data. Wrote a WHERE filter mixing AND and OR together and the result set made zero sense to me at first: SELECT * FROM deviceLogs WHERE status = 1 OR type = 'sensor' AND value > 50 Was getting way more rows back than I should. Stared at it for a while before someone pointed out AND binds tighter than OR in TQL. Rewrote it with parentheses: SELECT * FROM deviceLogs WHERE (status = 1 OR type = 'sensor') AND value > 50 That fixed the row count issue. Fine, lesson learned on precedence. But now I'm hitting something else I can't find a clear answer on. Same query setup, but some rows have NULL in the status column. Switched to XOR just to test: SELECT * FROM deviceLogs WHERE status = 1 XOR active = 1 Rows with NULL in st

I’m using Mantine useForm with Yup resolver inside a modal. I have a two-step UI: Step 1: Action selection User clicks either Approve or Reject Step 2: Remarks + final submit After clicking action, I show a textarea and a submit button dynamically based on selected status. ------------------------- Form setup const form = useForm({ initialValues: { adminRemarks: "", status: "", }, validate: yupResolver(ApproveWaiverSchema), }); Schema export const ApproveWaiverSchema = yup.object({ status: yup.string().required("Status is required"), adminRemarks: yup.string().when("status", { is: (val) => val === "APPROVED" || val === "REJECTED", then: (schema) => schema.required("Your Remarks are required"), otherwise: (schema) => schema.notRequired(), }), }); U

## Problem I am building a custom WooCommerce plugin that integrates with the Partial.ly API to create installment payment plans. I am following the official Partial.ly documentation for creating a custom checkout UI: https://developer.partial.ly/#create-your-own-checkout-ui ## My Flow 1. Call Partial.ly API to create a payment plan with `create_stripe_payment_intent: true` 2. Partial.ly returns a `client_secret` in the `payment_intent` key 3. Customer fills card details on our custom page using Stripe Payment Element 4. Call `PUT /api/payment_schedule/sign/{id}` to sign the contract 5. Call `stripe.confirmPayment()` on the frontend with the `client_secret` ## The Error Every payment is failing with this Stripe error: "Can only apply an appli

I am working on a travel booking website similar to Corbett Booking. The website is working fine most of the time, but sometimes it suddenly shows a “We had a server error” message without any clear pattern. This issue is not constant, which makes it difficult to identify the root cause. What I have already checked: Hosting server status (no downtime found) Basic caching setup Database connection (appears stable) My concern: I want to understand what could be causing this kind of intermittent server error in a web application. Specifically: What are the common reasons behind random server errors in a booking website? How can I properly debug backend or server-side logs to find the issue? What are the best practices to prevent such issues in PHP/WordPress-based travel websites? Any guidance or debugging approach

I am reading a book to learn C# and this is the problem statement. As an optional challenge, add statements so that the user can only make three attempts before an error message is displayed. I tried and even searched it but couldn't find a solution. using static System.Console; string? actualPassword = "ludo5656"; string? password; int maxAttempts = 3; do { Write("Enter your password: "); password = ReadLine(); } while (password != actualPassword); WriteLine("Correct!");

This isn't a what am I doing wrong? Rather, I'm surprised this works, what's the rationale?/might it all quickly turn to custard. By ‘ambiguous’ we mean that there is a type variable e that appears on the left of the => symbol, but not on the right. The problem with this is that, according to the theoretical foundations of Haskell overloading, we cannot guarantee a well-defined semantics for any term with an ambiguous type. [Mark Jones 'Type Classes with Functional Dependencies', ESOP 2000, §3] I'm exploring the 'expression problem', based on Lämmel's approach, slide 22 on. Here's an example instance: {-# LANGUAGE FunctionalDependencies, UndecidableInstances -- but not AllowAmbiguousTypes #-} class Expr e a | e