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<div style="display: none; max-height: 0px; overflow: hidden;">Apple squandered a huge opportunity with "Apple Intelligence" by failing to develop a truly agentic AI capable of automating computer use </div>
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<h1><strong> TLDR Dev <span id="date">2026-02-05</span></strong></h1>
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<h1><strong>Launches & Tools</strong></h1>
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<strong>Fluid (Website)</strong>
</span>
</a>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Fluid is a terminal agent that helps AI agents manage and debug production infrastructure like VMs and Kubernetes clusters. It operates by creating sandbox clones of the production environment, allowing AI agents to safely explore, run commands, test connections, and edit files without directly impacting live systems.
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<strong>SQLDef (Website)</strong>
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</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
SQLDef is a CLI tool designed to diff two SQL schemas and manage RDBMS migrations using regular SQL DDLs. It generates the necessary `ALTER` statements to transition a database schema from its current state to a desired one, or vice-versa.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Forgs%2Fcommunity%2Fdiscussions%2F185387%3Futm_source=tldrdev/1/0100019c2db3c651-5f373b5f-b240-42f0-aef6-968e027e22c2-000000/BnRyJOz-iSn6vbyRD-koJ98ZMbfiyTWKSWGuGnbCqpA=443">
<span>
<strong>Exploring Solutions to Tackle Low-Quality Contributions on GitHub (4 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
GitHub is tackling the flood of low-quality, AI-generated pull requests overwhelming maintainers. It is rolling out short-term fixes like the ability to disable PRs entirely, restrict them to collaborators only, and delete spam PRs from the UI. Long-term, the company is exploring AI-powered triage tools, better permission controls, and a requirement to be transparent when AI is used.
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<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fstackoverflow.blog%2F2026%2F02%2F04%2Fcode-smells-for-ai-agents-q-and-a-with-eno-reyes-of-factory%2F%3Futm_source=tldrdev/1/0100019c2db3c651-5f373b5f-b240-42f0-aef6-968e027e22c2-000000/oXZoT-clMDVh9aRF1AgjNHsZZJA3u9MAuumgvR5GN1Q=443">
<span>
<strong>Code smells for AI agents: Q&A with Eno Reyes of Factory (10 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Building good coding agents isn't just about the model, but also about the infrastructure layer that manages context, tools, and hundreds of validation signals like linters and tests. Stanford research found that AI agent adoption doesn't predict productivity, but code quality does. High-quality codebases accelerate with AI, while low-quality ones actually decelerate.
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<strong>Claude is a space to think (7 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Anthropic has announced that Claude will remain entirely ad-free as advertising is incompatible with its vision for AI. The company aims for Claude to be a genuinely helpful tool for deep thinking and work free from the commercial incentives that could influence responses or erode user trust.
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<h1><strong>Quick Links</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fboxc.net%2Fblog%2F2026%2Fclaude-code-connecting-to-local-models-when-your-quota-runs-out%2F%3Futm_source=tldrdev/1/0100019c2db3c651-5f373b5f-b240-42f0-aef6-968e027e22c2-000000/R13WXvflr3wUrAmmOex8as127JDokLSXVN9tWohqids=443">
<span>
<strong>Claude Code: connect to a local model when your quota runs out (3 minute read)</strong>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Claude Code can connect to a local open-source AI model, using LM Studio, as a backup solution to continue coding when Anthropic's API quota is exhausted.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.taricorp.net%2F2026%2Fa-few-cpu-bugs%2F%3Futm_source=tldrdev/1/0100019c2db3c651-5f373b5f-b240-42f0-aef6-968e027e22c2-000000/jgl1bR_M4pwI8Ly8CRadwZbyhEN7a954CEdJSO85PbY=443">
<span>
<strong>A few CPU hardware bugs (4 minute read)</strong>
</span>
</a>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
This article goes over various CPU hardware bugs, from Intel's embarrassing cosmetic misspellings in CPUIDs to a more serious pipeline flaw in an ITE RISC-V embedded processor.
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<span>
<strong>Bun Queue (GitHub Repo)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Bunqueue is a high-performance, BullMQ-compatible job queue designed for the Bun runtime, with SQLite persistence and zero external dependencies.
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<strong>Clipboardy (GitHub Repo)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Clipboardy is a cross-platform Node.js module that provides both synchronous and asynchronous APIs to access the system clipboard for text and image copy/paste operations.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fhuonw.github.io%2Fblog%2F2026%2F02%2Fai-plan%2F%3Futm_source=tldrdev/1/0100019c2db3c651-5f373b5f-b240-42f0-aef6-968e027e22c2-000000/g_tGx3TVHq4XejGCMU9AOQLV9oM4fGgcO70-xK9fPxg=443">
<span>
<strong>Staying engaged with AI plans: give inline feedback (3 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
AI coding agent performance can be improved by editing Claude Code markdown plans directly and providing feedback inline in the markdown files that Claude Code generates.
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