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<div style="display: none; max-height: 0px; overflow: hidden;">The Jules API allows for programmatic access to Jules' capabilities for automation and integration into software development workflows โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ </div>
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<h1><strong> TLDR Dev <span id="date">2025-10-06</span></strong></h1>
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If slow QA processes bottleneck you or your software engineering team and you're releasing slower because of it โ you need to check out QA Wolf.<p></p><p>They get engineering teams to <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.qawolf.com%2Fhow-it-works%3Futm_source=tldrwebdev%26utm_medium=newsletter%26utm_campaign=ACQ_All_Demo_Conversions__NewsletterAudience_-_Newsletter_EndTheDragOfSlowQACycles_20251006-None_Experiment-FALSE%26utm_term=body-80PercentAutomatedEndToEndTestCoverage%26utm_content=CutQACycles_ScheduleADemoToLearnMore_None_Headline%253ACutYourQACyclesDownFromHoursToMinutesWithAutomatedTesting____Newsletter-PrimaryPlacement_20251006_v1_/1/01000199b94837a1-f4c3f7aa-e816-46d3-a8f4-64cbb525851b-000000/osMn-pMnJkgZVyE3eQJmc-E3fHO3vYHjLXHnJg4b80A=425" rel="noopener noreferrer nofollow" target="_blank"><span>80% automated end-to-end test coverage</span></a> and help them <strong>ship 5x faster </strong>by reducing QA cycles from hours to minutes.</p>
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<strong>Consistent hashing (12 minute read)</strong>
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Consistent hashing is an algorithm that minimizes key recomputation when a hash table's size changes, specifically in distributed caching scenarios. The traditional hashing approach suffers from complete cache invalidation upon node additions or removals. Consistent hashing maps both nodes and items onto a circle, assigning items to the nearest node clockwise, limiting the impact of node changes.
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This study tested 11 different data formats for LLM understanding by feeding GPT-4.1-nano 1,000 employee records and assessing its ability to answer questions accurately. Markdown-KV had the highest accuracy, while CSV and JSONL performed poorly, suggesting that format impacts LLM comprehension a lot. However, Markdown-KV also used more tokens than the most token-efficient format of CSV.
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<strong>LoRA Without Regret (33 minute read)</strong>
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The Thinking Machines Lab published research on Low-Rank Adaptation (LoRA), a more efficient fine-tuning method for LLMs. Their findings show that LoRA can achieve similar performance to full fine-tuning when applied to all layers, especially MLP layers, and when not constrained by capacity limitations relative to dataset size. The study also found that optimal learning rates for LoRA are consistently 10x higher than those for full fine-tuning, and offers insights into setting LoRA hyperparameters.
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While engineers are often tools in the game of corporate politics, they can strategically align their skills and ideas with company-wide mandates or executive priorities. By preparing multiple technical solutions that address various organizational concerns, engineers can proactively offer solutions when the "flavor of the month" arises. This allows engineers to control the direction of technical programs and avoid the implementation of less effective ideas.
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It's important to prioritize tasks that drive measurable business impact over technical improvements that lack user value. This dev spent time focusing on software modernization without considering business priorities, which ended up slowing down his career advancement.
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Make onboarding and deployment easier for your customers with integrated domain features - without building them from scratch. The name.com API is simple, scalable, and built for AI-assisted development. It's free and quick to sign up, so you can get your API token and start building today.
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The Jules API allows for programmatic access to Jules' capabilities for automation and integration into software development workflows. The API allows for custom integrations with tools like Slack and project management software, as well as integration into CI/CD pipelines.
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Sora is implementing two major changes based on user feedback: granting rightsholders greater control over character generation, including options to limit or prevent their use, and exploring revenue-sharing models for videos featuring their characters. This control addresses rightsholders' interest in "interactive fan fiction" while allowing them to manage character usage.
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<h1><strong>Quick Links</strong></h1>
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<strong>Era of AI slop cleanup has begun (8 minute read)</strong>
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<strong>The best worst hack that saved our bacon (3 minute read)</strong>
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This dev's team averted a potential calendar system crash by implementing a temporary, unconventional solution (using negative integers for primary keys) to buy time for a proper migration without disrupting customer integrations.
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<strong>Managing context on the Claude Developer Platform (4 minute read)</strong>
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Anthropic's Claude Developer Platform now offers context editing and a memory tool, powered by Claude Sonnet 4.5, to let devs build more capable AI agents that can handle long-running tasks by managing context windows.
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<strong>NIRS fire destroys government's cloud storage system, no backups available (3 minute read)</strong>
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A fire at the National Information Resources Service (NIRS) of South Korea destroyed the government's cloud storage system, resulting in the permanent loss of work files for 750,000 civil servants due to the lack of external backups.
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