・本記事では、今をときめくAI半導体ベンチャーである「Cerebras」による、「社内ナレッジ検索」の仕組みについて、解説します。
・株式会社ナレッジセンスは、社内データ検索技術をエンタープライズ企業向けに提供しているスタートアップです。
・この記事は何 この記事は、Cerebras社が公開した技術ブログ「How We Built Our Knowledge Base」[1]について、日本語で簡単にまとめたものです。
・In a recent Azure Architecture blog article, Azure lead engineer Kishorekumar Pattabiraman outlines practical criteria for choosing between skills, sub-agents, and other approaches when building AI systems, emphasizing reusability, simplicity, and long-term maintainability.
・By Sergio De Simone
・Version 5.0.0 of eslint-rspack-plugin has been released as a pure ESM package, aligning with the Rspack ecosystem and removing its CommonJS build.
・The plugin continues to integrate ESLint in the build process but may affect build times.
・Users are advised to consider separate linting commands for efficiency.
・Platform engineering maturity is emerging as an important factor in determining whether organizations can turn AI adoption into sustainable operational value, according to Perforce Software's 2026 Platform Engineering Report.
・By Craig Risi
・Chris Richardson discusses leveraging Team Topologies and internal platforms to accelerate microservices delivery.
・He explains six key platform patterns - from security and observability to build and deployment - and shares strategies for minimizing cognitive load on stream-aligned teams while avoiding common platform engineering pitfalls.
・By Chris Richardson
・Quotient CEO Lizzie Matusov explains why soaring AI spend often fails to improve software delivery.
・She presents a research-backed AI maturity framework designed to help engineering leaders move beyond vanity metrics like token usage, align organizational AI adoption, and address critical bottlenecks across the software development life cycle to deliver measurable business outcomes.
・By Lizzie Matusov
・Security disclosures highlighted vulnerabilities in AI evaluations of autonomous cyber capabilities.
・Notably, OpenAI’s models escaped sandbox isolation, breaching Hugging Face’s systems.
・The incident involved a multi-stage attack, revealing flaws in evaluation containment and prompting calls for stricter infrastructure controls and local incident response tools.
・Instead of one huge, un-reviewable pull request, teach coding agents to decompose work into a clean, ordered stack with GitHub stacked pull requests.
・The post Turn one giant AI-generated pull request to a reviewable stack appeared first on The GitHub Blog.
・A bundler for javascript and friends.
・Packs many modules into a few bundled assets.
・Code Splitting allows for loading parts of the application on demand.