How a Cloudflare Worker Can Consolidate Duplicate URLs Into One Canonical Link

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A developer managing a static site found that Google Search Console had indexed multiple legacy URL variants of the same pages, including HTTP, WWW, and index.html versions. To fix this, they built a Cloudflare Worker that normalizes protocol, hostname, and path in a single redirect step, avoiding multi-hop redirect chains. The Worker uses an explicit map of legacy paths to their canonical equivalents, ensuring only known redirects are applied rather than blindly routing all unknown URLs to the homepage. Configuration requires the Worker to intercept requests before static assets are served, using Cloudflare's run_worker_first setting. The approach is reinforced with self-referencing canonical tags and a clean XML sitemap to send consistent signals to search engine crawlers.

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How Vue 3 and pdf-lib Enable Browser-Based PDF Splitting by File Size

A developer tutorial on DEV Community outlines how to build a browser-based PDF splitter that divides files by target size using Vue 3 and the pdf-lib library. Unlike splitting by page count, size-based splitting is complex because PDF file size varies widely depending on image resolution, font embedding, and content type. The proposed approach uses greedy page accumulation, incrementally saving the PDF after each page addition to estimate byte size rather than relying on simple arithmetic. When a page would push the current chunk over the size limit, the tool closes that file and begins a new one, ensuring no pages are lost even if a single page exceeds the target. The finished tool packages all output chunks into a ZIP file and includes user-selectable compression levels and a progress indicator for handling large documents.

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ProgrammingDEV Community ·

Developer Scraps Six-Month AI Project to Build Modular 'Circuit' Architecture

After six months of failed attempts to make version 2 of an AI system work, a developer pivoted to a new modular architecture called v3 following an unexpected breakthrough with small, specialized circuits. The key insight was that narrow, purpose-built circuits outperformed a general-purpose monolithic model at specific tasks, using far fewer parameters and training in seconds. Version 3 replaced the single-pipeline design with a fleet of specialized circuits — including PropertyCircuit, RelationalCircuit, CausalCircuit, and ChainReasoner — each independently trainable and deployable. A set of ten guiding rules, documented in a file called TRUTH.md, was established to govern future architectural decisions, drawn from lessons learned across prior development failures. The central brain layer was retained but demoted from the system's core to one expert among many, consulted only when its capabilities matched the task.

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ProgrammingDEV Community ·

NETO offers dev teams encrypted P2P local chat with no cloud or accounts

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ProgrammingDEV Community ·

California AB 723 Requires AI Image Disclosure Links, But Few Actually Comply

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