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@laura_garcia shared a post, 8 months, 2 weeks ago
Software Developer, RELIANOID

🚀 DevOpsDays arrives in Lima for the first time!

On August 21, 2025, DevOps practitioners and tech leaders will gather to share insights on CI/CD, SRE, DevSecOps, AI/MLOps, and CloudOps. 🔹 RELIANOID will be there—showcasing how our platform empowers secure, scalable, observability-driven DevOps operations. #DevOpsDays#DevOps#SRE#DevSecOps#CloudOps..

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@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

You can’t UPDATE what you can’t find: vs PostgreSQL

ClickHouse just leveled up. Its new SQL-standardUPDATEis fast—PostgreSQL-fast on single-row changes, and up to4,000×faster on bulk updates. That’s pure columnar speed plus parallelism in the driver’s seat. Yes, both use MVCC. But unlike Postgres, ClickHouse dodges transaction bloat by default. That.. read more  

You can’t UPDATE what you can’t find: vs PostgreSQL
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@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

The decline of high-tech manufacturing in the United States

High-tech manufacturing used to employ 2.8% of U.S. workers back in 1990. Now it’s down to 1.3%. The sharpest losses hitcomputers, electronics, and aerospace—industries that once defined the future. Onlypharma and med devicesmanaged to buck the trend, adding 189,000 jobs while the rest bled over a .. read more  

The decline of high-tech manufacturing in the United States
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@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Using AWS ECR as a universal OCI repository

AWS ECR is an OCI repository supporting different types of artifacts, from Docker images to machine learning models, allowing for simplified management and unified access. Users can interact with ECR using CLI tools like ORAS, Helm, and Terraform, providing integration with CI/CD pipelines for effic.. read more  

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@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Node.js v22.18.0 (LTS) is out

Node.js just got spicier. You can now runTypeScript files out of the box—no transpile step, no weird configs. It’s experimental, and only supports a trimmed-down syntax, but still: big move. Elsewhere, it’s tacklingburst fs eventswith AsyncIterator support, tightening upCJS/ESM cycle resolution, an.. read more  

Node.js v22.18.0 (LTS) is out
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@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Building a web search engine from scratch in two months with 3 billion neural embeddings

An indie dev just went full mad scientist and built a full-stack, transformer-powered search engine—solo. They indexed 280 million pages from scratch with hundreds of crawlers, a fully sharded backend, and serious metal:64 RocksDB nodes,200 CPU cores, and82 TB of SSD. Under the hood: custom HTML pa.. read more  

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@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Faster Index I/O with NVMe SSDs

A search service (Marginalia Search) gutted its old index internals and dropped memory-mapped B-trees. In their place: adeterministic, block-aligned skip listtuned fordirect reads on NVMe SSDs. It runs on128KB block sizes, usescustom buffer pools, and leans hard onio_uringfor async position lookups.. read more  

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@faun shared a link, 8 months, 2 weeks ago
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GitHub folds into Microsoft following CEO resignation — once independent programming site now part of 'CoreAI' team

GitHub just lost its autonomy. Microsoft is folding it into theCoreAIdivision, where it’ll now march in step with Redmond’s broader AI play. CEO Thomas Dohmke is out. No replacement named. Bigger picture:Why now? Copilot hit general availability, and GitHub’s becoming less a platform, more a provin.. read more  

GitHub folds into Microsoft following CEO resignation — once independent programming site now part of 'CoreAI' team
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@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

LLM Evaluation: Practical Tips at Booking.com

A new LLM evaluation framework taps into an"LLM-as-judge"setup—think strong model playing human annotator. It gets prompted (or fine-tuned) to mimic human scores and rate outputs from other LLMs. It runs on a tightly labeledgolden dataset, handles both pointwise and head-to-head comparisons, and sh.. read more  

LLM Evaluation: Practical Tips at Booking.com
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@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

No, AI is not Making Engineers 10x as Productive

Claims of 10–100x dev speed from AI tools skip the hard parts—code reviews, bug queues, flaky tests. In practice, AI helps with the small stuff: one-off scripts, throwaway glue code, basic scaffolds. But scaling that help across big, messy codebases? Still a pipe dream. Too much context lost. Too ma.. read more  

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.