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ProgrammingDEV Community ·

Jank Fighter II — Claude vs Codex vs Grok before and after Buoy

I built Buoy — debugging and optimize tooling for React Native, Expo, Flutter, Swift, web, and more. We put three coding models through the same prompt on a janky React Native Skia scene rendered with React Native Web in Chrome, then ran Optimize and measured again. Results (FPS, before → after) Claude: 975,800 → 6,123,350 (6.3×) Codex: 155,450 → 444,100 (2.9×) Grok: 202,100 → 577,350 (2.9×) Lights held around 55 fps. Same prompt, same scene, same harness — the gap is what Optimize changed in the app under test. Full write-up with screenshots and method: AI models before and after Buoy Questio

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ProgrammingDEV Community ·

Architecture of Modern Web Game Engines: Canvas Rendering, CSPRNG Fairness, and WebRTC Voice in Production

Architecture of Modern Web Game Engines: Canvas Rendering, CSPRNG Fairness, and WebRTC Voice in Production For decades, digital implementations of classical tabletop games—from chess and draughts to backgammon—suffered from clunky, lag-ridden interfaces. Early web iterations relied on heavy Flash plugins, clumsy Java applets, or fragile DOM manipulation where every checker drag triggered expensive browser reflows and repaints. In this comprehensive technical review and architectural breakdown, we examine what it takes to engineer a modern, low-latency, cross-platform tabletop engine capable of

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ProgrammingDEV Community ·

Chapter 8 — Observe Pipeline Failures Without Turning UI Feedback into Control

Chapter 8 is a lab, not a fresh application. Start with the completed Chapter 7 filters-and-reducers checkpoint, then deliberately make one pipeline filter fail. The exercise shows how a FeatureCell™ can expose a finalized feature error while the UI remains an observer rather than a second source of pipeline authority. You will keep the Chapter 7 CRUD workflow, pure filter, and ordered reducers. The lab adds one intentional throwing filter, an errors() callback, and a global error response.

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ProgrammingDEV Community ·

Python Data Structures cheat sheets: when to use lists, sets, tuples and dictionaries.

A data structure is a way of organising information and the choice depends on use. The best data structure to use depends on how you intend to access and manipulate the data, as each structure has advantages and disadvantages for different operations. Essential Python Data Structures. 1.Lists. How to create a list; creating a list puts items into square brackets[], separated by commas and the items can be a string, numbers or booleans.

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ProgrammingDEV Community ·

Agents Override: Local Harness in Heterogeneous Teams

Introduction The adoption of AI assistants directly in IDEs has changed the way we write software. Today, establishing an agents.md file in the root of the repository so that the artificial intelligence understands the rules is practically a standard. This concept has spread under various names: .cursorrules, .windsurfrules, or claude.md. However, as its use moves from the solo developer and scales to heterogeneous teams, a problem arises: infrastructure friction. Reason: mixing business rule or architectural instructions with commands restricted to the local infrastructure of whoever wrote th

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ProgrammingDEV Community ·

Gas Optimization Audit: Compound V3

Gas Optimization Audit: Compound V3 Target Protocol: Compound V3 (TVL: $1519.7M) Prepared by: [Your Firm] – Senior DeFi Security Research & Smart‑Contract Auditing Team Date: 5 Oct 2026 Compound V3 is the latest iteration of the flagship money‑market protocol, now deployed on Ethereum L1 and several L2 roll‑ups (Optimism, Arbitrum, Base). With ≈ $1.52 B TVL, the protocol processes > $30 B in transaction volume per month. While the core logic has already passed a full security audit, the gas‑efficiency of the contracts remains a critical factor for user experience, composability, and the econom

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ProgrammingDEV Community ·

Entitlements Are a Domain, Not a Feature Flag

It usually starts with one feature. The product team wants the new reporting dashboard available only on the enterprise plan, and there's no plan model in the code yet. The flag service is already wired in and supports targeting, and a segment called enterprise-customers takes ten minutes to set up. A year later there are a dozen such segments. Every grant now goes through engineering, the code understands plans only as segment names, billing and access drift apart, and change logs are not sufficient to audit the proper state of customer product access.

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ProgrammingDEV Community ·

I Built an Open-Source Tool That Turns Websites Into Android Apps

I Built an Open-Source Tool That Turns Websites Into Android Apps Hey everyone! I’ve been working on a project called InteeBuild. The idea is pretty simple: Give it a public website or HTML and get an Android project/APK/AAB without having to manually set everything up. GitHub: https://github.com/Fluxionics/InteeBuild InteeBuild currently supports things like: Website → Android app HTML → Android app APK / AAB builds Custom app name and package Custom icons Android permissions Background audio Native bridges GitHub Actions builds Build artifacts Build logs API access Webhooks APK inspection/de

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ProgrammingDEV Community ·

Instinct puts its AI agent in group chats, and non-users can join the thread

The hard part of multi-user AI agents isn't the model, it's deciding which slice of a person's private context a shared agent is allowed to see. Instinct's new group chats are a live test of that. Instinct is launching group chats where friends use its AI agent together on tasks like planning trips, organizing carpools, and coordinating events. The detail that matters for anyone building in this space: friends without an account can take part. The agent, not a signup form, becomes the interface to the product.

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ProgrammingDEV Community ·

Comparing Budget Structured Logging Platforms for Next.js SaaS — Node.js Forensics

For a budget-conscious Next.js SaaS, choose a structured logging platform by testing whether it can reconstruct one game-notification delivery from acceptance to final outcome. Carry one stable delivery_id through the Node.js request, queue handoff, and provider attempt. The deciding constraint is incident reconstruction: an on-call engineer must tell a known rejection from an unknown outcome without sending the player a duplicate alert. TL;DR: Choose Sentry when frontend crash context drives the investigation, Axiom when structured-event investigation is central, Better Stack's Logtail lineag

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ProgrammingDEV Community ·

My private Day planner

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend Shruthi is a close friend of all three of us. She told us that [HER REAL PROBLEM, IN HER OWN WORDS, e.g. "my days feel messy and I never stop to reflect"]. She also said she would never type her personal thoughts into an online app. That last sentence shaped everything.

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ProgrammingDEV Community ·

Laravel Bus Batching for Clean Data Processing

The Feature Over 10k subscribed users are paying to have updates to contact lists in a CRM application. In a time interval set between each day and every 7 days, we will push updated and new contacts from our lead sourcing to the CRM.\ To begin, we create batches of 1k contacts each to process at a time. These batches may consist entirely of leads that belong to the same user, or there may be multiple users in ownership. The trick is that we know which user's specific contact list settings they are identified by. Each user may have multiple lists that leads get assigned to, each with it's own

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ProgrammingDEV Community ·

LLM Paper Trader

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built The idea was to combine some traditional technical indicators with an open-weight language model and see how it would perform as a simple decision-making layer. The system fetches market data, calculates indicators, sends the current market state to the model, and gets a simple BUY, SELL, or HOLD decision. That decision is then executed using virtual money, and the portfolio is tracked over time. Everything is simulated, so there is no real money involved. Paper Trader is intentionally small.

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ProgrammingDEV Community ·

Cloudflare's Auto Router: How to Measure AI Cost per Useful Result in 2026

A cheap AI answer gets expensive when you have to ask three more times, fix the result yourself, and explain to a client why the promised shortcut took the afternoon. That is the question I brought to Cloudflare's October 5 Birthday Week recap. It collects 46 announcements from the previous week. One worth examining for freelancers and beginner builders is Auto Router, which launched on September 30—not today. Cloudflare's Auto Router announcement describes a public-beta AI Gateway feature that selects a model for each request.

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