Email: Deno joins Cloudflare ☁️, build your own Jev 🛠, debugging without understanding 🔑

Subject:
Deno joins Cloudflare ☁️, build your own Jev 🛠, debugging without understanding 🔑
Received:
10/12/2026, 11:13:52 AM
From:
"TLDR Dev" <dan@tldrnewsletter.com>
To:
silk.theater.56@fwdnl.com
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&lt;div style="display: none; max-height: 0px; overflow: hidden;"&gt;The Deno team is joining Cloudflare to focus on a shared platform built around Workers, Durable Objects, and celld. Deno runtime development&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;&lt;/div&gt;
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&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.testmuai.com%2Fkane-cli%2F%3Futm_source=tldr%26utm_medium=content_collab%26utm_campaign=tldr-dev-primary-newsltr-12oct26%26utm_content=header_kane_cli_let%26utm_term=2026-10-12/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/5FXcphTXbd-WgYVbJQlDqqf8FeZrN_ADZ7lt3fQE-5s=452"&gt;&lt;img src="https://images.tldr.tech/testmu.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Testmu Ai"&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;


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&lt;h1&gt;&lt;strong&gt;&nbsp;TLDR Dev &lt;span id="date"&gt;2026-10-12&lt;/span&gt;&lt;/strong&gt;&lt;/h1&gt;
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                                        &lt;strong&gt;Kane CLI: let your coding agent test its own work (Sponsor)&lt;/strong&gt;
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&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Your coding agent ships the feature. Then you click through it manually. Describe the check in natural language instead. Kane CLI runs it in real browsers or on iOS simulators and Android emulators and returns pass or fail with a video link (&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.testmuai.com%2Fkane-cli%2F%3Futm_source=tldr%26utm_medium=content_collab%26utm_campaign=tldr-dev-primary-newsltr-12oct26-2%26utm_content=Body_how_it_works%26utm_term=2026-10-12/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/lj4944t2ku7XR3tqF3xUilv833GgpWZRNN63jw1-SeQ=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;see how it works&lt;/span&gt;&lt;/a&gt;).

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&lt;p&gt;3 ways devs use it:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&gt; Agent loop:&lt;/strong&gt; Claude Code, Cursor, and Codex call it to verify their own builds.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&gt; CI gate:&lt;/strong&gt; Non-zero exit codes fail the pipeline when a flow breaks.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&gt; Playwright export:&lt;/strong&gt; Turn any run into test code you own.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.testmuai.com%2Fkane-cli%2F%3Futm_source=tldr%26utm_medium=content_collab%26utm_campaign=tldr-dev-primary-newsltr-12oct26-3%26utm_content=cta_200_credits%26utm_term=2026-10-12/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/N6RMVVlKgg8_5-sZ1knUBYHxA9s0Axz62T5djf_0cdQ=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;&lt;br&gt;&lt;strong&gt;Start free with 200 credits →&lt;/strong&gt;&lt;/span&gt;&lt;/a&gt;


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                                    The AI-generated Campfire app rewrites make different choices about compatibility, queues, and concurrency, so throughput alone cannot establish which language performs better. Constant-arrival-rate tests expose tradeoffs between dropped notifications, timeouts, memory use, and delivery latency, showing why engineers still need to inspect code and specify failure behavior.
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&lt;div class="text-block"&gt;
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                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fpurplesyringa.moe%2Fblog%2Fgrieving-the-loss-of-details%2F%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/vRbk-GD4tUkb5npOcLdnYRP-lEIIRxZVldOzyEHSB5A=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Grieving the Loss of Details (5 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    A personal reflection explores the loss of professional identity when AI shifts attention from low-level knowledge and performance details toward architecture and delegation.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.dgt.is%2Fblog%2F2026-10-07-deepseek-freek-out%2F%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/ZMnmuDOMIM1UsIlfPQj-GJms_QSSt3ZKzKkmLF7V3hM=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Why Isn't the Industry Freaking Out About DeepSeek 4.1 Flash? (4 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    An account of using DeepSeek 4.1 Flash across a dozen projects argues that inexpensive models can handle much of the work typically assigned to premium frontier models. Lower session costs encourage unattended chores, exploratory testing, and long planning sessions, with a more expensive model sometimes brought in for a final review.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🚀&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;

&lt;h1&gt;&lt;strong&gt;Launches &amp; Tools&lt;/strong&gt;&lt;/h1&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table style="table-layout: fixed; width: 100%;" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.uvi.io%2Fwebinars%2Fconfidently-wrong-and-expensive%2F%3Futm_source=tldrdev%26utm_medium=newsletter%26utm_campaign=webinar-oct-q4%26utm_content=send2/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/EtZNLfdvp-hJoxqhyJ_hqC4kf1O5wgRy1_KystxkIg8=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Webinar: Why Context Layers Get Costly at Enterprise Scale (Sponsor)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    The first agent worked. Now entity resolution, relevancy and live permissions are someone's full-time job. On October 20th, Nave Ben Naim, Uvi's founding engineer, covers what agents cost when they explore instead of answering: tokens, latency, and output you re-check. &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.uvi.io%2Fwebinars%2Fconfidently-wrong-and-expensive%2F%3Futm_source=tldrdev%26utm_medium=newsletter%26utm_campaign=webinar-oct-q4%26utm_content=send2/2/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/hoRwYXD-1TmXwTddaFELjoWUsbvKSkAAJU8Q5Z47JmI=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Grab a seat.&lt;/span&gt;&lt;/a&gt;
&lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Frea.tools%2F%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/8T2y0mHZgfJ6Nydx1roiMHsXVmUDdQbSkXsrFi7m9fI=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;REA (Website)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    REA gives coding agents tools to reverse engineer native binaries, JavaScript and Electron applications, and browser behavior. Its examples recover Windows Calculator's percentage rules and a browser game's acceleration logic, then use those findings to explain or rebuild the features.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Frociiu%2Ftalorys%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/93nbgzQu2BG-akQjz59HnkIhGM41zv03kvqOYYqGdG4=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Talorys (GitHub Repo)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Talorys is a single-user personal AI assistant that runs in your own Cloudflare account and deploys with one command. It combines chat, editable memory, tasks, notes, projects, and scheduled reminders, with core organizational features continuing to work when AI is unavailable.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Ffranzenzenhofer%2Fbig-arrow-on-the-screen%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/-t24vk5446irN6d_w01NBOVe6WIl5A5LM_Q2ZFfrUwQ=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Big Arrow on the Screen (GitHub Repo)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    A macOS command-line tool lets coding agents draw temporary arrows, boxes, and text over the screen to show users where to click. Its transparent overlays allow clicks through to the underlying application and disappear automatically, with skills provided for Claude Code and Codex.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🎁&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;strong&gt;&lt;h1&gt;Miscellaneous&lt;/h1&gt;&lt;/strong&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdeno.com%2Fblog%2Fcloudflare%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/ffxzwiVaWkdjFMuVGoI3gaaLp-xpa_QZfNkrYJRhAcc=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Deno Is Joining Cloudflare (3 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    The Deno team is joining Cloudflare to focus on a shared platform built around Workers, Durable Objects, and celld. Deno runtime development will end after one year of bug fixes and security updates, Deno Deploy will shut down in six months, and JSR will continue operating on Cloudflare infrastructure.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fastralord.github.io%2Fposts%2Fspeculative-decoding-the-art-of-guessing-well%2F%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/8tqoVqYyOqAgheBK9jCTyIIjWkDRlEP8jtMO7RAcRew=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Speculative Decoding: The Art of Guessing Well (70 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Speculative decoding accelerates generation by drafting several tokens cheaply and verifying them in one target-model pass while preserving the target's output distribution. This detailed walkthrough derives acceptance and speedup formulas, covers EAGLE-3, multi-token prediction, and diffusion drafters, and explains why training for acceptance is different from simply minimizing KL divergence.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fswingbit.github.io%2Fdirty_pages%2F%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/G8HM_YFMjroq7XdHmgc9VlC6YJkSRI4qxIwdoweG8H8=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;The Dirty Pages Surprise: When a Read-Only Query Writes Terabytes (10 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    A MonetDB count-distinct query saturates an NVMe drive with writes because Linux flushes dirty pages from temporary memory-mapped scratch files. Moving the scratch files to tmpfs cuts runtime from 73 minutes to 97 seconds, while workload-specific writeback tuning reaches about 100 seconds without moving them off disk.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;⚡&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
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&lt;div style="text-align: center;"&gt;

&lt;h1&gt;&lt;strong&gt;Quick Links&lt;/strong&gt;&lt;/h1&gt;
&lt;/div&gt;
&lt;/div&gt;
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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.seangoedecke.com%2Fsoftwares-centaur-age-may-last-decades%2F%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/0BEJ_W_IVcxoKkMwdRvcTe6Cm04GsUm5pHIN4LOJbfc=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Software's Centaur Age May Last Decades (6 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Human and AI teams may remain the strongest software builders for another decade or two.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fimportstatic.com%2Fdatabases%2Fpostgres-uuidv7-vs-uuidv4-bigint%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/Dz0NZafVdpt-TvJCYiXDX_f_X_evCtbWTfWHMpq4KWQ=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;PostgreSQL uuidv7 Keys Load Like bigint, UUIDv4 Took Twice as Long (9 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    In a PostgreSQL 18 laptop benchmark loading 10 million rows, UUIDv7 took 32.3 seconds versus 29.7 for bigint and 60.7 for UUIDv4.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcommandline.microsoft.com%2Fmicrosoft-decision-1-model-foundry%2F%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/FPndquZmgLCv-5s8XPKBBoALekBZMW9u4zi-BqqF1qQ=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Introducing Microsoft-Decision-1, Our Model for Fast Decision-Making (6 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Microsoft-Decision-1 scores fixed answer options in a single pass for routing, classification, and workflow control.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fratfactor.com%2Fcards%2Fgit-commit-size%3Futm_source=tldrdev/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/YZ6SpSWNLdgFLSdR1qeP6p50TDttXKxLiBDKAPZnCX8=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;How Big Is a Git Commit? (5 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Git commit storage depends on directory structure, filesystem overhead, and compression.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;


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&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Frefer.tldr.tech%2F8770c80a%2F3/1/010001a12fd1aa47-4daf3a00-0f36-4c5c-8ac7-e27af28ee638-000000/qly5B9_2i9YaDK5fxTNTzrW37lfZhCMMlBSv-QY-DiA=452" style="color: #464ba4; text-decoration: underline;"&gt;https://refer.tldr.tech/8770c80a/3&lt;/a&gt;
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