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<div style="display: none; max-height: 0px; overflow: hidden;">Jeff Dean and Sanjay Ghemawat, some of Googleβs most important engineers for over 25 years, wrote a guide on optimizing software performance β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β </div>
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<h1><strong> TLDR Dev <span id="date">2025-12-22</span></strong></h1>
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Jeff Dean and Sanjay Ghemawat, some of Google's most important engineers for over 25 years, wrote a guide on optimizing software performance. Performance needs to be considered early in critical code paths instead of solely relying on post-development profiling for optimization. The guide also covers algorithmic improvements, efficient memory representation, reducing allocations, avoiding unnecessary work, and using parallelization.
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Code review within teams should change to be primarily a human alignment mechanism. Large language models have no memory and have to rediscover everything in the system from first principles every time they are run. Humans can collectively maintain a shared vision of what the system should do. Code review should reconfigure itself around this purpose.
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From a DX perspective, every transaction within a shard would always be serializable and never needs to be retried, making it much easier to think about. A single-threaded database would be fully horizontally scalable and have extremely high per-thread throughput, as it wouldn't need to sync with other threads. It would be a much more predictable system. While more restrictive, there would be no more hidden race conditions.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgist.github.com%2Fedxeth%2Fc9669f46a04687375fd9150c4874286e%3Futm_source=tldrdev/1/0100019b460b2c39-f71d5ba2-57a6-4083-8e45-9734a5caafec-000000/F8HD2HUYvkB6q0_GMhiDa_kbvLP18w9rc1Tb03TYiZY=436">
<span>
<strong>Claude's frontend design skill (2 minute read)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
This gist contains a Claude skill for creating production-grade frontend interfaces that avoid generic AI slop aesthetics. The user provides frontend requirements, and the AI generates production-grade and functional code with visually striking and memorable design. The skill instructs the agent to never use generic AI-generated aesthetics, to interpret prompts creatively, and to make unexpected choices that feel genuinely designed for the context.
</span>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2FDicklesworthstone%2Fmisc_coding_agent_tips_and_scripts%2Fblob%2Fmain%2FDESTRUCTIVE_GIT_COMMAND_CLAUDE_HOOKS_SETUP.md%3Futm_source=tldrdev/1/0100019b460b2c39-f71d5ba2-57a6-4083-8e45-9734a5caafec-000000/KNOYfPMnJVOqip4yskv-mB6FKqBplMVFM9vh-tH_n9Y=436">
<span>
<strong>Destructive Git Command Protection for Claude Code (17 minute read)</strong>
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</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
AI agents can execute destructive commands without understanding the consequences. They can do this even if the AGENTS.md file forbids such commands. This post provides a Claude Code hook that blocks certain git commands before they can run. The hook uses regex pattern matching, so clever or obfuscated commands may be able to bypass it.
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<span>
<strong>Garage (Website)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Garage is a lightweight, efficient, and resilient S3 object store designed for reliability. Capable of running outside traditional datacenters, it guarantees data redundancy through 3-zone replication. Garage is a self-contained, dependency-free binary that is fast to deploy on various Linux distributions and machines.
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<strong>TRON (GitHub Repo)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
LiteΒ³ (TRON) is a zero-copy, schemaless binary serialization format that organizes data as a B-tree within a single contiguous buffer. This design allows for direct, O(log n) access and mutation of data fields without traditional parsing or serialization steps. It supports conversion to/from JSON, but is much more performant.
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<span>
<strong>Rue (Website)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Rue is a memory-safe language that is higher-level than Rust, but lower-level than Go. It features a simple syntax inspired by various programming languages. Rue compiles directly to native code. It is still in early development.
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<div style="text-align: center;"><span style="font-size: 36px;">π</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<span>
<strong>2025 LLM Year in Review (9 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
2025 was an eventful year for LLMs, with paradigm shifts that redefined the field. Reinforcement Learning from Verifiable Rewards (RLVR) came up as a new training stage, allowing LLMs to develop reasoning strategies and driving much of the year's capability progress. The year also saw the rise of new application layers, local AI agents like Claude Code, "vibe coding" that democratized programming, and early hints of a visual LLM GUI.
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<strong>Backing up Spotify (26 minute read)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Anna's Archive has created the world's first preservation archive for music by backing up Spotify's metadata and music files. This massive 300TB collection covers 256 million tracks and 186 million unique ISRCs, representing approximately 99.6% of all Spotify listens. The project archives a "long tail" of less popular music and makes the entire archive openly mirrorable.
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<div style="text-align: center;"><span style="font-size: 36px;">β‘</span></div></div>
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<h1><strong>Quick Links</strong></h1>
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<strong>Code Orange: Fail Small β our resilience plan following recent incidents (7 minute read)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
A 'Code Orange' at Cloudflare is an incident that requires top priority from everyone across the company, with teams working cross-functionally as necessary to get the job done while pausing any other work.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftechcommunity.microsoft.com%2Fblog%2Fmessagingonazureblog%2Fjson-structure-a-json-schema-language-youll-love%2F4476852%3Futm_source=tldrdev/1/0100019b460b2c39-f71d5ba2-57a6-4083-8e45-9734a5caafec-000000/M2iqHStC-Ns90dJB9ZF0uhnBxzS2acLRKXkCBn4NYkM=436">
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<strong>JSON Structure: A JSON schema language you'll love (8 minute read)</strong>
</span>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
JSON Structure is a strictly typed data definition language that describes JSON-encoded data so that mapping to and from programming languages and databases becomes straightforward.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.jeffgeerling.com%2Fblog%2F2025%2Fbig-gpus-dont-need-big-pcs%3Futm_source=tldrdev/1/0100019b460b2c39-f71d5ba2-57a6-4083-8e45-9734a5caafec-000000/baO4PdiHU_gqROMZqaOx-lOltPbZlF6IzBab_1buRVo=436">
<span>
<strong>Big GPUs don't need big PCs (15 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
A Raspberry Pi 5 can use powerful GPUs for demanding tasks like AI and media transcoding, often achieving performance within a few percent of a desktop PC.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsurfingcomplexity.blog%2F2025%2F12%2F20%2Fwhy-i-dont-like-correction-of-error%2F%3Futm_source=tldrdev/1/0100019b460b2c39-f71d5ba2-57a6-4083-8e45-9734a5caafec-000000/mQg9ubifjZHJEDXVBR65vLeXepVPCoEUHhkf2mcK5-E=436">
<span>
<strong>Why I don't like βCorrection of Errorβ (5 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Amazon's term for its incident review process, Correction of Error, implies that incidents occur as a result of errors, which limits the benefits available from the incident review process.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.fsck.com%2F2025%2F12%2F20%2Fwordiest%2F%3Futm_source=tldrdev/1/0100019b460b2c39-f71d5ba2-57a6-4083-8e45-9734a5caafec-000000/QkW8mxkrybnPD7fD_x5yZmOTR3YzoBKd472e2OeWw98=436">
<span>
<strong>Wordiest (4 minute read)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
This developer used GPT-5.2 to port an old Android game to iOS - the resulting app even got approved on the App Store.
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