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I Built a Website Crawler Because “It Works in the Browser” Isn’t Enough

When you build a website, one of the easiest things to assume is: If the page looks fine in the browser, the website is fine. But a browser session only shows you one path through the application. A website can look completely normal while still having broken links, missing metadata, invalid structured data, crawlability problems, or performance issues across pages you never opened. That was the idea behind a project I’ve been building called sitebot. As a frontend developer, I spend a lot of ti

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ExternalSoftware Engineering
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Google’s 2026 Updates Separate Content Quality From AI Search Destination Signals

Google’s 2026 search changes require website owners to separate two related but different visibility problems. The February 2026 Discover Core Update focused on the quality and relevance of content shown in Google Discover. The May 2026 core update, alongside changes that made preferred sources available in AI Mode and AI Overviews, points to a second issue: how Google chooses sources to surface in AI-assisted search experiences. That distinction matters because the response is not identical. A

aiautomationtools
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ExternalSoftware Engineering
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Signup Abuse Defense: When CAPTCHA Gates Creation and Risk Signals Catch Up

Signup protection works best as a sequence, not a single verdict: use CAPTCHA before account creation when the request already looks automated, then apply risk scoring after signals from the attempted signup are available. That placement preserves a clean audit trail and keeps a suspicious attempt from becoming a durable credential. The decision is about bot resistance, not about making every honest person solve a puzzle. The invariants are straightforward. No account is created before the pre-c

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ExternalSoftware Engineering
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Your Git History Is a Story. I Wrote the Algorithm That Finds It.

Every repository has a moment nobody talks about. Not the first commit. Not the launch. Not the sprint where everything clicked. The moment I keep coming back to — the one that made me build this thing — is the gap. The silence. The chapter where nothing happened and everyone pretended it didn't exist. When I ran Commit Canvas over Flask's history, it found six chapters. Five were predictable. The sixth stopped me: The Silence: 31 days of nothing. November 28, 2024 → January 1, 2025. A changelog

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Google Logged Six Search Ranking Updates in 2026: What Website Owners Should Watch

Google recorded six ranking-related Search updates in 2026, spanning Discover, core ranking systems and spam detection. The count matters, but the more useful takeaway for website owners is what the updates reveal about Google's evolving quality signals. Independent analyses of the March core update found that destination sites and original publishers often gained visibility while intermediary aggregators and directories frequently lost ground. The six updates are listed in Google's official Sea

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ExternalSoftware Engineering
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Address the row, not the line: when the checker is the first reader in disguise

For two weeks, a small group of strangers on a GitHub issue about agent auto-memory audited one file: an always-loaded memory index with a 200-line / 25,000-UTF-16-unit cap. By the end, three of us had published numbers that were wrong, two of us had corrected ourselves in public, and we had discovered that the audit itself carried the exact bug it was built to find — at three different layers, one after another. The thread converged on a single sentence that none of us had said at the start: An

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ExternalSoftware Engineering
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‘It Answers in Poetry Now’: A Week of Users Saying Their AI Got Wordier and Worse

For months the loudest complaints in consumer AI have been about money and access: the meter, the rate limit, the price rise, the paid feature that quietly vanished. This week the grievance moved somewhere less obvious and more interesting — the writing. Across the big subreddits, heavy users of Claude, Gemini and ChatGPT converged on the same complaint, in almost the same words: the models have started sounding cleverer and answering worse. More verbose, more performative, more jargon, more hed

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GLM-5.3: The Post-Training Revolution That's Reshaping AI Development

GLM-5.3: The Post-Training Revolution That's Reshaping AI Development How Z.ai Proved That Training Methods Matter More Than Model Size Published: September 9, 2026 | Reading time: 8 minutes In August 2026, Z.ai released GLM-5.3, a model that defied the conventional wisdom of AI development. With 743 billion parameters—identical to its predecessor GLM-5.2—the model achieved a 50% improvement in programming capabilities and topped global cybersecurity benchmarks, all without changing

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