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@kala shared a link, 1 week, 1 day ago
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Anthropic releases Claude Opus 4.7, narrowly retaking lead for most powerful generally available LLM

Anthropic has unveiled Claude Opus 4.7, a powerful large language model that outperforms key rivals like GPT-5.4 and Google's Gemini 3.1 Pro in benchmarks such as agentic coding and financial analysis. Opus 4.7 leads the market on the GDPVal-AA knowledge work evaluation with an Elo score of 1753 and.. read more  

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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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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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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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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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A Couple Million Lines of Haskell: Production Engineering at Mercury

Mercury runs ~2M lines ofHaskellin production. They choseTemporalto replace cron and DB-backed state machines. Durable workflows replace brittle coordination. They open-sourced aHaskellSDK forTemporal, wired inOpenTelemetryhooks, and pushed records-of-functions plus domain-error types... read more  

A Couple Million Lines of Haskell: Production Engineering at Mercury
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@farouklamri started using tool Kubernetes , 1 week, 3 days ago.
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@laura_garcia shared a post, 1 week, 3 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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@paunikar-jayesh started using tool PHP , 1 week, 3 days ago.
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.