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<div style="display: none; max-height: 0px; overflow: hidden;">Mastra, an AI agent framework for TypeScript, has officially announced the stable release of version 1.0, with Server Adapters for easier deployment </div>
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<h1><strong> TLDR Dev <span id="date">2026-01-21</span></strong></h1>
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Bugs sneak out when less than 80% of user flows are tested before shipping. However, getting that kind of coverage (and staying there) is hard and pricey for any team.<p></p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fqawolf.com%3Futm_source=tldrwebdev%26utm_medium=newsletter%26utm_campaign=ACQ_All_Demo_Conversions__NewsletterAudience_-_Newsletter_GoodbyeLowTestCoverage_20260121-None_Experiment-FALSE%26utm_term=body-QAWolf%26utm_content=GoodbyeLowTestCoverage_GetStartedForFree_None_Headline%253AGoodbyeLowTestCoverageAndSlowQACycles____Newsletter-PrimaryPlacement_20260121_v1_/1/0100019be0746cbb-0832d337-ecc6-4268-9361-f67a45cba082-000000/YPFhCmQZvZ45GljhrWj8nG1oUyvnacl3Ji1ZoXyLBv4=441" rel="noopener noreferrer nofollow" target="_blank"><span>QA Wolf's</span></a> AI-native solution provides high-volume, high-speed test coverage for web and mobile apps, reducing your organization's QA cycle to minutes. </p>
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wxpath is a Python library for declarative web crawling and data extraction, where traversal and extraction logic are expressed directly using XPath. It introduces custom XPath operators like `url(...)` and `///url(...)` to enable deep, breadth-first web graph exploration within a single expression.
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<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fkarllorey.com%2Fposts%2Fwithout-benchmarking-llms-youre-overpaying%3Futm_source=tldrdev/1/0100019be0746cbb-0832d337-ecc6-4268-9361-f67a45cba082-000000/SAF16JLT3fngczF4Fh23YTCuLujrVZlMBzgIss5YFnU=441">
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<strong>Without Benchmarking LLMs, You're Likely Overpaying 5-10x (9 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Many users overpay for LLM API calls because common benchmarks don't accurately predict performance or cost-effectiveness for their specific tasks, leading them to default to popular but expensive models. This article goes over a benchmarking methodology that involves collecting real prompts, defining expected outputs, running numerous LLMs via a unified API, and using an LLM-as-judge to score responses based on quality, cost, and latency. This process consistently revealed that many users can achieve comparable quality at much lower costs, often cutting bills by 80% or more.
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<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fengineering.monday.com%2Fai-agents-at-work-real-time-platform-insights-in-slack%3Futm_source=tldrdev/1/0100019be0746cbb-0832d337-ecc6-4268-9361-f67a45cba082-000000/638KGM3fY65BCOzwCBMWjh8eW5kYkxp8nElMJuOr83U=441">
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<strong>AI Agents at work: real-time platform insights in Slack (8 minute read)</strong>
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</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Monday.com developed an AI Slack bot to help devs quickly access real-time platform insights without having to manually check internal tools or dig through notifications. The bot uses LLM agents connected to their microservices data through an MCP. To prevent the AI from hallucinating data, they pre-computed statistics rather than letting the model calculate them.
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<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.emilburzo.com%2F2026%2F01%2Frunning-claude-code-dangerously-safely%2F%3Futm_source=tldrdev/1/0100019be0746cbb-0832d337-ecc6-4268-9361-f67a45cba082-000000/Z0I6CqRsctigrFLJj_mgzUUJ9YPc4wknDR5npAMqm4U=441">
<span>
<strong>Running Claude Code dangerously (safely) (6 minute read)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The author wanted to use Claude Code with the `--dangerously-skip-permissions` flag for an improved workflow, but needed a safe, isolated environment to prevent accidental damage to their host system. They initially considered Docker, but issues like Docker-in-Docker requiring privileged mode made it unsuitable for true sandboxing. They chose Vagrant to create a disposable virtual machine, which offers full isolation and a reproducible configuration.
</span>
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<div style="text-align: center;"><span style="font-size: 36px;">⚡</span></div></div>
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<h1><strong>Quick Links</strong></h1>
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<strong>Claude Chill (GitHub Repo)</strong>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Claude Chill is a PTY proxy that tames Claude Code's massive terminal updates by rendering only screen differences, preserving history, and enabling lookback to prevent lag, flicker, and broken scrollback.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.logrocket.com%2Fcode-review-the-bottleneck-ai-cant-ignore%3Futm_source=tldrdev/1/0100019be0746cbb-0832d337-ecc6-4268-9361-f67a45cba082-000000/qsjYUPlXXyzLQy82HG-iocca9yABk3S4QOtW2LM6YWk=441">
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<strong>Why AI coding tools shift the real bottleneck to review (8 minute read)</strong>
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</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Through testing identical features built manually versus with AI, this developer found that AI generates 2-6× more code with extensive defensive patterns and edge-case handling, changing review questions from "what's missing?" to "is all this complexity necessary?"
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<span>
<strong>The challenges of soft delete (10 minute read)</strong>
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</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The common `archived_at` column for soft delete has too many complexities, and instead, alternatives like database triggers should be considered.
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<span>
<strong>The Agent Skills Directory (Website)</strong>
</span>
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<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Skills are reusable, plugin-like capabilities that provide procedural knowledge to help AI agents more effectively accomplish specific tasks, and this website is a directory of the most useful skills.
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</span>
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