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@kala shared a link, 3 weeks, 3 days ago
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I Measured Claude 4.7's New Tokenizer. Here's What It Costs You.

Anthropic's Claude Opus 4.7 migration guide states the new tokenizer utilizes "roughly 1.0 to 1.35x as many tokens" compared to 4.6. Actual measurements show a higher ratio on technical docs and real CLAUDE.md files. The cost of the new tokenizer was measured using real content and synthetic samples.. read more  

I Measured Claude 4.7's New Tokenizer. Here's What It Costs You.
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@devopslinks shared a link, 3 weeks, 3 days ago
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Figma's next-generation data caching platform

Figma rearchitected their storage systems to support scalability, including horizontally sharding their Postgres stack and building FigCache, a stateless proxy service for Redis. FigCache decouples connection scalability from Redis, centralizes traffic routing, enhances security, and provides end-to.. read more  

Figma's next-generation data caching platform
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@devopslinks shared a link, 3 weeks, 3 days ago
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Shell Tricks That Actually Make Life Easier (And Save Your Sanity)

This post provides a collection of lesser-known terminal tricks that can improve productivity and efficiency when working in various POSIX shells. The tricks cover a range of functions, from efficient text manipulation to file operations and script writing. By incorporating these tips into daily wor.. read more  

Shell Tricks That Actually Make Life Easier (And Save Your Sanity)
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Don’t trust, verify

Daniel Stenberg, creator of curl, argues that software security should be built on verification rather than trust, outlining the many ways a widely used project like curl could be compromised - from malicious insiders and breached credentials to hacked distribution sites and CI tool exploits. To cou.. read more  

Don’t trust, verify
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@devopslinks shared a link, 3 weeks, 3 days ago
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Reducing our monorepo size to improve developer velocity

Dropbox cut itsmonorepofrom 87GB to 20GB. It ran a GitHub‑approved server‑sidegit repack, tuned bywindow/depth. Clone times dropped to under 15 minutes. Engineers traced growth to Git’s 16‑char path heuristic. That heuristic mispairedi18nfiles. They tested--path-walklocally, then ran phased replica .. read more  

Reducing our monorepo size to improve developer velocity
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@laura_garcia shared a post, 3 weeks, 5 days ago
Software Developer, RELIANOID

how to migrate ADC services from Array Networks APV Series to RELIANOID—step by step.

Migrating from legacy ADC platforms doesn’t have to be complex. In our latest Knowledge Base article, we walk you through how to migrate ADC services from Array Networks APV Series to RELIANOID—step by step. 🔍 What you’ll find inside: - Clear terminology mapping between both platforms - Practical mi..

Knowledge base migrate ADC services from ARRAY NETWORKS APV SERIES to RELIANOID
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@laura_garcia shared a post, 3 weeks, 6 days ago
Software Developer, RELIANOID

DevOpsCon Amsterdam 2026

- 𝗗𝗲𝘃𝗢𝗽𝘀𝗖𝗼𝗻 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺 𝟮𝟬𝟮𝟲 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝗰𝗼𝗿𝗻𝗲𝗿! - Amsterdam, Netherlands April 20–24, 2026 Simplify complexity, amplify agility, and accelerate innovation. Join DevOpsCon Amsterdam 2026 — one of the leading conferences for professionals working with CI/CD, Kubernetes, Platform Engineering, ..

devopscon amsterdam april 26
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@sanjayjoshi shared a post, 4 weeks ago

10+ Shadcn Table Components, Blocks & Tools

A curated list of Shadcn table components and blocks you can use in React and Next.js projects to build clean, flexible, and production-ready data tables faster.

Thumbnail Shadcn Table
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@sancharini shared a post, 4 weeks ago

Black Box Testing Techniques to Improve Test Coverage

Learn black box testing techniques to improve test coverage. Explore methods like equivalence partitioning, boundary value analysis, and more with practical examples.

black box testing techniques
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@laura_garcia shared a post, 4 weeks ago
Software Developer, RELIANOID

𝗪𝗼𝗿𝗹𝗱 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗗𝗮𝘆

🚀 𝗪𝗼𝗿𝗹𝗱 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗗𝗮𝘆 𝗶𝘀 𝗵𝗲𝗿𝗲… and it’s not just science fiction anymore. Quantum computing is rapidly moving from theory to reality—and with it comes a 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝘀𝗵𝗶𝗳𝘁 𝗶𝗻 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 that organizations simply can’t ignore. Here’s the uncomfortable truth: 👉 The same technology that promises breakthrou..

quantum_computing_relianoid
Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.