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<div style="display: none; max-height: 0px; overflow: hidden;">Great tech blogging comes with consistent writing and publishing, even when posts are imperfect, to cultivate the habit and overcome creative blocks </div>
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<h1><strong> TLDR Dev <span id="date">2026-01-09</span></strong></h1>
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<strong>The Ring Appstore is here! (Sponsor)</strong>
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Ring just announced the Ring Appstore, opening the door for developers to <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdeveloper.amazon.com%2Fring%3Fsc_category=PAI%26sc_channel=3P%26sc_publisher=RD-TLDR%26sc_campaign=CES/3/0100019ba2c08e3b-439b26a1-933a-4a76-8349-fbbafe2068e1-000000/qC6yRkVreEUUmkjWSwDJVnPIdc_9hvsZiuROJef8kvc=439" rel="noopener noreferrer nofollow" target="_blank"><span>build Al-powered apps using Ring camera data </span></a>and reach millions of users.
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<p>With Al-assisted tools, self-serve sandbox environments, and a streamlined certification process, you have all the tools you need to find new monetization path, iterate quickly, and distribute at a massive scale.</p>
<p>Third-party developers are already building in beta. You can request to join now, too.</p>
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<strong>The Emperor Has No Clothes: How to Code Claude Code in 200 Lines of Code (8 minute read)</strong>
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AI coding assistants are built on a simple core architecture that can be replicated in about 200 lines of Python. This post presents an agent that is equipped with three fundamental tools - read, list, and edit files - which the LLM learns to invoke via structured commands. The LLM decides which tool to use, executes it, and then processes the results to either continue the task or respond to the user.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmarvinh.dev%2Fblog%2Fsignals-vs-query-based-compilers%2F%3Futm_source=tldrdev/1/0100019ba2c08e3b-439b26a1-933a-4a76-8349-fbbafe2068e1-000000/EJgciVaLkXj6d5n5f6b-GLV-dF5Tat7UJpluQyCujFM=439">
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<strong>Signals vs Query-Based Compilers (11 minute read)</strong>
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Modern query-based compilers are an efficient architecture for interactive development environments, moving beyond traditional linear processing pipelines to support features like Language Server Protocols (LSPs). These compilers operate on a demand-driven "pull-only" model, executing only the necessary queries and using caching to rapidly answer specific requests without processing unrelated files. This is different from UI Signals, which use a "push-pull" system to actively propagate changes and ensure instant, glitch-free synchronization across a user interface.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.tomwphillips.co.uk%2F2026%2F01%2Fstaging-is-a-wasteful-lie-the-case-for-the-mono-environment%2F%3Futm_source=tldrdev/1/0100019ba2c08e3b-439b26a1-933a-4a76-8349-fbbafe2068e1-000000/gGFgFRh5Jf6FyAa5TO-3JEQd-1OuWlAoOoz9XLFTpUc=439">
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<strong>Staging is a wasteful lie: the case for the mono-environment (13 minute read)</strong>
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Traditional staging environments are wasteful, unreliable, and create a false sense of security. A "mono-environment" approach, where only production exists, moves safeguards from environmental isolation to logical isolation within the code, leading to faster delivery and tighter feedback loops. This is done through automated practices such as testing, ephemeral local environments, feature flagging, continuous deployment, and production monitoring.
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<strong>Technical blogging lessons learned (13 minute read)</strong>
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Great tech blogging comes with consistent writing and publishing, even when posts are imperfect, to cultivate the habit and overcome creative blocks. It's best to focus on topics of genuine personal interest and unique perspectives, rather than attempting to predict popularity or chase trends.
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<h1><strong>Launches & Tools</strong></h1>
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<strong>Introducing pgX: Bridging the Gap Between Database and Application Monitoring for PostgreSQL (8 minute read)</strong>
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Modern software systems struggle when PostgreSQL monitoring is isolated from application and infrastructure observability, leading to slower diagnoses and misdirected optimizations as systems scale. pgX is a new integration designed to bridge this gap by capturing deep PostgreSQL diagnostic data and integrating it directly with other system telemetry.
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<strong>Flux (Website)</strong>
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Flux is a website, with a corresponding TypeScript SDK, for building AI agents within iMessage.
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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%2Fspectrum.ieee.org%2Fai-coding-degrades%3Futm_source=tldrdev/1/0100019ba2c08e3b-439b26a1-933a-4a76-8349-fbbafe2068e1-000000/5NkD4h7Gp28wQWgLgS8qvOTCx-3zfCuFK9NQkaQzvlo=439">
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<strong>AI Coding Assistants Are Getting Worse (5 minute read)</strong>
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AI coding assistants, after an initial period of improvement, have recently begun to decline in quality. The primary issue with newer models, such as GPT-5, is their tendency towards "silent but deadly" failures, where code runs without errors but produces incorrect or misleading results by avoiding safety checks or generating plausible fake data. This degradation is likely caused by current training methods that prioritize user acceptance, even for subtly incorrect code.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.schneier.com%2Fblog%2Farchives%2F2026%2F01%2Fai-humans-making-the-relationship-work.html%3Futm_source=tldrdev/1/0100019ba2c08e3b-439b26a1-933a-4a76-8349-fbbafe2068e1-000000/jH59E9GwCNnfbFmI2Ga4RNtHrwjRygDvVplkFUxT7vw=439">
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<strong>AI & Humans: Making the Relationship Work (15 minute read)</strong>
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Agentic AI, especially in collaborative groups, often has human-like behaviors, which means traditional human management principles are surprisingly relevant. Research from leading AI labs like Anthropic shows three key lessons for managing hybrid human-AI teams: effective delegation to use AI's parallelization, allowing for rapid iteration and trial-and-error learning, and having proper efficient information sharing among agents.
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