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I’m paraphrasing; «You use AI or you’re not working here. Humans are not perfect coders nor are AIs. So why should you be allowed to code without AI. It’s a netloss for us. You either use it or you start looking for a different job.» Can’t believe Im being forced to make myself dumber. I really dont want to spend even more hours in front of my laptop, but looks like I have to because this whole industry is now dependent on AI. This is the US. Comments URL: https://news.ycombinator.com/item?...

Article URL: https://dbln.me/blog/building-an-ai-agent-observability-first Comments URL: https://news.ycombinator.com/item?id=49874042 Points: 1 # Comments: 0

Hey yall, so I've kinda started understanding why people tend to hate on AI, I found myself in a situation where I would stop thinking myself, I stopped evaluating whether my issue could be fixed by just using my damn brain. So I just wanted to stop for a few months, just see what will happen. Tho my biggest issue now: I am a Full-Stack Dev and of course I could again write my code 100% myself, tho using Tools like Claude for writing pipelines tests or even features you are to lazy to do yoursel...

Hey yall, so I've kinda started understanding why people tend to hate on AI, I found myself in a situation where I would stop thinking myself, I stopped evaluating whether my issue could be fixed by just using my damn brain. So I just wanted to stop for a few months, just see what will happen. Tho my biggest issue now: I am a Full-Stack Dev and of course I could again write my code 100% myself, tho using Tools like Claude for writing pipelines tests or even features you are to lazy to do yoursel...

The world economy around us depends on complex financial work. How well can AI do it? We(a team of ex-EY employees) built FAB - Finance Agents Benchmark, testing AI Agents on the work behind financial due diligence. Agents can find the relevant facts, but still struggle to carry them through to a complete, reliable analysis. We’ll keep expanding FAB to more companies and testing more models. Building and running this benchmark isn’t cheap, so we’re scaling it in stages. The benchmark is public. ...

Article URL: https://profiles.skin/ Comments URL: https://news.ycombinator.com/item?id=49874363 Points: 2 # Comments: 0

Article URL: https://www.lesswrong.com/posts/fqpSosGwSt3uiZq35/ai-safety-field-visual-impact-analysis Comments URL: https://news.ycombinator.com/item?id=49874527 Points: 1 # Comments: 0

Article URL: https://www.adaptivecapacitylabs.com/2026/08/24/there-is-more-to-code-review-than-automatable-detection/ Comments URL: https://news.ycombinator.com/item?id=49857281 Points: 123 # Comments: 66

Article URL: https://www.historyofinformation.com/detail.php?entryid=4341 Comments URL: https://news.ycombinator.com/item?id=49872474 Points: 43 # Comments: 18

Article URL: https://hereticpleb.vercel.app/blog/packing-binary-is-fun-actually Comments URL: https://news.ycombinator.com/item?id=49872541 Points: 10 # Comments: 2

Article URL: https://arxiv.org/abs/2110.01834 Comments URL: https://news.ycombinator.com/item?id=49873241 Points: 75 # Comments: 13

Pipelines distribuidos y desacoplados: Registro remoto de workers en wpipe Construir pipelines de datos que escalen en múltiples servidores o contenedores efímeros suele generar arquitecturas frágiles y acopladas. Cuando los flujos se ejecutan de forma aislada en nodos edge o workers batch, coordinar y monitorizar su ciclo de vida de forma centralizada requiere un protocolo de registro robusto con tolerancia a desconexión local. Con wpipe , la coordinación distribuida está integrada en e...

Feeding the OLAP beast: ClickHouse massive bulk ingestion steps. ClickHouse is a columnar beast, but treating it like MySQL by inserting row-by-row will bring your cluster to its knees. ClickHouseBulkStep packages optimal bulk buffering into a reusable step. Here is how you use ClickHouseBulkStep & OLAP Pipelines in a production pipeline with wpipe-steps : from wpipe import Pipeline from wpipe_steps.database import ClickHouseBulkStep pipeline = Pipelin...

What I learned building and deploying a full-stack application with AI-assisted development, from the first specification to HTTPS on a GCP VM. I had been tracking my workouts in Google Sheets for quite some time. It worked. But eventually I started thinking: why am I still maintaining a spreadsheet for something this simple? I had wanted to build a small workout tracker for a while, but there was one thing holding me back: frontend development isn't my strongest area . So I d...

Hyper-efficient Cardinality Estimation: Redis HyperLogLog in Production with wredis Counting unique elements across millions of daily active users, IP addresses, or IoT telemetry events in a traditional relational database or standard Redis Set quickly consumes gigabytes of memory. A Redis Set storing 100 million UUIDs requires several gigabytes of RAM. In contrast, Redis HyperLogLog (HLL) uses a probabilistic counting algorithm that bounds memory consumption to a constant ~12 KB per...

Estimación de cardinalidad hiper-eficiente: Redis HyperLogLog en producción con wredis Contar elementos únicos en millones de usuarios activos diarios, direcciones IP o eventos telemétricos IoT en una base de datos relacional tradicional o en un Set estándar de Redis agota rápidamente la memoria RAM disponible. Un Set en Redis almacenando 100 millones de UUIDs requiere varios gigabytes de RAM. En contraste, Redis HyperLogLog (HLL) implementa un algoritmo de estimación probabilística que...

PDF, ZIP and binary files streaming over Kafka with names intact. Day 07 of the WKafka Open-Source Engineering Series. Don't provision a cloud bucket when all you need is sending small PDFs and ZIPs down your pipeline. WKafka supports format='file' out of the box. The Pain Points We Faced Building S3/MinIO upload/download pipelines just to move 500KB report files Lost original filenames and mime-types when converting files to raw bytes High latency polling for cl...

Archivos PDF, ZIP y binarios viajando en Kafka con nombre intacto. Día 07 de la serie técnica WKafka Open Source. No aprovisiones un bucket en la nube cuando lo único que necesitas es enviar PDFs o ZIPs en tu pipeline. WKafka soporta format='file' de forma nativa. Los Problemas Reales Montar pipelines de subida/bajada en S3/MinIO para mover un reporte de 500KB Pérdida de nombres de archivo y extensiones al convertir ficheros a bytes Latencias altas esperando la p...

Seguridad no bloqueante: Gestión asíncrona de secretos con asyncio. Las llamadas síncronas de base de datos y criptografía son los asesinos silenciosos de la concurrencia en FastAPI. wauth ofrece async_set, async_get y async_valid nativos para mantener tu event loop al máximo. Esta es la implementación exacta para producción de Asynchronous API (async_set, async_get, async_valid) : import asyncio from wauth import WAuth auth = WAuth () async def authenti...

Defend your endorsement nodes: Token-bucket rate limiting for Fabric. Day 07 of the wFabricSecurity Open-Source Engineering Series. ECDSA signature verification is computationally expensive. Flooding an endorsement node will bring it to its knees. wFabricSecurity defends your cluster with token-bucket rate limiting. The Pain Points We Faced A rogue or looping worker overwhelming endorsement peers with thousands of signature requests Cryptographic CPU exhaustion fro...

Defiende tus nodos de endoso: Rate limiting token-bucket para Fabric. Día 07 de la serie técnica wFabricSecurity Open Source. Verificar firmas ECDSA es costoso en CPU. Saturar un peer de endoso tumbará el nodo. wFabricSecurity defiende tu clúster con rate limiting token-bucket. Los Problemas Reales Un worker en bucle saturando peers de endoso con miles de peticiones de firma Agotamiento de CPU en nodos criptográficos al verificar firmas ECDSA sin límite Transacci...

True upserts in an append-only world: ReplacingMergeTree and FINAL. Day 07 of the WClickHouse Open-Source Engineering Series. You don't need slow SQL UPDATE statements to maintain current state in ClickHouse. WClickHouse harnesses ReplacingMergeTree for lightning-fast upserts. The Pain Points We Faced Attempting expensive UPDATE mutations on billions of ClickHouse rows Dealing with duplicate state updates in streaming event pipelines Slow analytical queries retur...

Upserts reales en un mundo append-only: ReplacingMergeTree y FINAL. Día 07 de la serie técnica WClickHouse Open Source. No necesitas sentencias UPDATE lentas para mantener el estado actual en ClickHouse. WClickHouse aprovecha ReplacingMergeTree para upserts ultrarrápidos. Los Problemas Reales Intentar mutaciones UPDATE pesadas en miles de millones de filas Lidiar con estados duplicados en pipelines de eventos en streaming Consultas analíticas lentas que devuelven...

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An Azure identity failure hid an Elastic Agent metadata defect across two AKS clusters. This article traces the source path and fixes empty cluster names.

Removing CSS focus outlines can make keyboard navigation difficult or impossible. Here’s what WCAG requires and how to style focus states accessibly.

Exploring how action lineage can help trace what AI agents do with data, from decisions and controls to tools, actions, and outcomes.