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Daily Edition · Page 4

THE DAILY INDEX

Technology, AI, software, security, crypto and business

ARTICLES & TUTORIALS

TLDR Web Dev

TLDR Web Dev

USING LOCALSTORAGE IN MODERN APPLICATIONS

localStorage has been supported in most browsers for over fifteen years, so it’s a reliable way to persist key-value pairs on the client side. This article explores the various aspects of the localStorage API, its advantages and limitations, and alternative storage options available for modern applications. localStorage is best used for user preferences, simple settings, or temporary data. It should not be used for large datasets, querying data, or frequent read/writes as there’s JSON overhead and it’s not asynchronous.

rxdb.info · 7 min

TLDR Web Dev

INTERVIEWING ENGINEERS FOR DIAGNOSTIC SKILLS

SREs and backend engineers need strong troubleshooting skills, but these are rarely assessed during traditional interviews. To effectively test for these skills, create an interactive role-playing exercise where candidates work through a complex bug. This approach focuses on evaluating the candidate's diagnostic process rather than simply finding a solution. It tests key skills like their ability to differentiate between relevant and irrelevant information, the specificity of their questions, how they handle dead-ends, and their overall problem-solving strategy.

blog.danslimmon.com · 12 min

TLDR Web Dev

INTRODUCING SUPERMAVEN, THE FIRST CODE COMPLETION TOOL WITH A 300,000-TOKEN CONTEXT WINDOW

Supermaven has introduced a new code completion tool that boasts an unprecedented 300,000-token context window for a deeper understanding of any codebase. The tool provides AI suggestions tailored to a codebase's specific APIs and coding conventions, even with large or unique projects. The model was trained on edit sequences rather than just files, making it well-suited for refactoring tasks.

supermaven.com · 3 min

TLDR Web Dev

LARGE LANGUAGE MODELS ARE DRUNK AT THE WHEEL

The current hype around LLMs like ChatGPT risks obscuring the actual limitations of the technology and could potentially foster a counterproductive boom-and-bust cycle within the tech industry. While LLMs excel at producing human-like text, they cannot reason, understand truth, or autonomously solve problems. They are also prone to hallucinations (i.e., they lie) and unpredictable behavior. Despite this, businesses are rushing to integrate LLMs in often unproductive ways.

matt.si · 22 min

TLDR IndexPage 4