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dev. to > prabhakar_chaudhary_7afe4 > what-glm-52-changes-for-long-horizon-coding-1568

What GLM-5. 2 Changes for Long-Horizon Coding

1+ min ago  (367+ words) A 1 M-token window is not mainly about writing longer prompts. It is about changing the default unit of work. Instead of splitting a codebase into tiny fragments and hoping retrieval gets the right pieces back, you can keep a much…...

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dev. to > jomynn > i-built-a-free-ide-extension-to-catch-malicious-npm-packages-before-they-wreck-your-project-24oe

I built a free IDE extension to catch malicious npm packages before they wreck your project

just now  (161+ words) Supply-chain attacks via npm are up year-over-year " packages like event-stream, the Lazarus group drops, and AI-hallucinated typosquats keep landing in real codebases. I got tired of finding out after the fact, so I built NPM Safety Guard. It scans your…...

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dev. to > jamesli > part-3-vector-retrieval-in-domain-specific-terminology-scenarios-from-model-selection-to-dual-3485

Part 3 " Vector Retrieval in Domain-Specific Terminology Scenarios: From Model Selection to Dual Validation

3+ min ago  (951+ words) Part 1 built the knowledge base. Part 2 handled chunking. The first version of the system used text-embedding-ada-002 for retrieval " Open AI's most mainstream embedding model at the time. The first instinct was to tune the similarity threshold: drop from 0. 85 to 0. 75? To…...

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dev. to > bioshistory > the-quantum-collapse-the-two-year-descent-into-the-great-asset-blackout-1184

The Era of Hardware Identities (20402041): From the Crumbling of ISO 20022 to the HRI-7 Module

14+ min ago  (888+ words) [Excerpted from THE QUANTUM COLLAPSE CHRONICLES " not science fiction, but a grounded forecast of what may come when quantum computation dismantles the cryptographic foundations of our digital civilization. These articles explore the collapse of computational trust and the brutal reconstruction…...

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dev. to > oneirozzzz7 > 17-free-browser-based-tools-for-llm-api-developers-2bhl

17 free browser-based tools for LLM API developers

14+ min ago  (259+ words) I kept switching between 5+ different sites just to count tokens, estimate API costs, plan context windows, and format JSON. So I built Dev Kit AI " a free collection of 17 tools specifically for LLM API workflows. Link: https: //devkit-ai. com Key…...

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dev. to > anakin_writers > stop-scraping-the-page-when-the-data-is-already-in-the-network-tab-314m

Stop scraping the page when the data is already in the network tab

14+ min ago  (520+ words) You write a scraper with Playwright, wait for the page to load, close the cookie banner, click a filter, and parse a table out of the DOM. Then someone redesigns the page and your selector breaks. The annoying part is…...

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dev. to > ahmet_gedik778845 > building-a-sliding-window-rate-limiter-in-redis-for-a-multi-region-video-api-50ni

Building a Sliding Window Rate Limiter in Redis for a Multi-Region Video API

14+ min ago  (498+ words) The original limiter was the one everybody writes first, because it is three lines of Redis and it mostly works: Every request increments a counter named after the current window bucket. When the counter exceeds the limit, requests are rejected…...

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dev. to > assili_salim_e3c07f9954de > what-is-your-cutoff-for-killing-a-bad-codex-run-14d9

What is your cutoff for killing a bad Codex run?

9+ min ago  (144+ words) One thing I'm still trying to reason about with Codex is when a run should be stopped rather than allowed to keep spending context, steps, and time. Some failures are obvious: repeated test failures, the same edit being attempted multiple…...

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dev. to > __c1b9e06dc90a7e0a676b > how-i-stopped-regexing-html-tables-and-started-using-ai-for-data-extraction-1mmd

How I Stopped Regexing HTML Tables and Started Using AI for Data Extraction

14+ min ago  (728+ words) I've been scraping data from the web for years. You'd think I'd have learned by now: never use regex on HTML. But sometimes, when you're staring at a messy table with inconsistent classes, random whitespace, and nested elements that barely…...

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dev. to > jaspreet_singh_86ae1740ac > how-systems-scale-from-0-to-100-million-users-3nm

HLD Fundamentals #4: How Systems Scale: From 0 to 100 Million Users

23+ min ago  (540+ words) "How would you scale a web application from 100 users to 100 million users?" The answer is rarely a single technology. Instead, systems evolve through multiple stages, with each stage solving a specific bottleneck. This article walks through the typical evolution of…...

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