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@varbear shared a link, 1 month, 1 week ago
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Replacing Protobuf with Rust to go 5 times faster

PgDog ditched Protobuf for raw C-to-Rust integration inpg_query.rs. The new setup usesbindgenand recursive FFI wrappers - no serialization, no handoffs. The payoff? Query parsing is 5× faster. Deparsing hit 10×. Evenpgbenchsaw a 25% bump across major ops... read more  

Replacing Protobuf with Rust to go 5 times faster
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@varbear shared a link, 1 month, 1 week ago
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A Social Filesystem

The AT Protocol flips social apps inside out. Instead of locking posts and profiles inside platform silos, it treats them as files -JSON-based records, stored in your own decentralized, app-neutral repo. Everything you do - posts, follows, likes - gets logged as a signed, timestampedrecordin your pe.. read more  

A Social Filesystem
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@varbear shared a link, 1 month, 1 week ago
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ASCII characters are not pixels: a deep dive into ASCII rendering

A fresh take on programmatic ASCII rendering brings inhigh-dimensional shape vectors,supersampling, andcontrast tricksto keep edges crisp and animations clean. Under the hood:k-d tree nearest-neighbor lookups,vector quantization, andGPU-powered samplinghelp push sharp ASCII frames without tanking pe.. read more  

ASCII characters are not pixels: a deep dive into ASCII rendering
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@varbear shared a link, 1 month, 1 week ago
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If you're a Zoomer, this one's for you: Everything Gen Z needs to know about the 2025 tech landscape

AI investment hit $1.5T in 2025. Think dot-com energy: bloated valuations, feverish M&A. Startup acquisitions shot up 13%. Deal volume? Up 115%. Hype’s worn thin. Enterprises are done lighting money on fire with flashy tools. Focus is shifting to agents - LLMs thatdothings, not justsaythings. System.. read more  

If you're a Zoomer, this one's for you: Everything Gen Z needs to know about the 2025 tech landscape
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@kaptain shared a link, 1 month, 1 week ago
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Building Production-Grade Micro services on Azure Kubernetes

A team running microservices onAzure Kubernetes Servicegave their setup a smart overhaul: critical state stayed managed inPostgreSQL, but compute and observability went DIY. The payoff? Major cost cuts. Interrupt-friendly jobs landed onspot instances, and they ditched pricey per-GB logging for a hom.. read more  

Building Production-Grade Micro services on Azure Kubernetes
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@kaptain shared a link, 1 month, 1 week ago
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What has Docker become?

Docker’s not just about containers anymore. It’s pivoting hard into AI infrastructure - with some teeth. The newModel Runner,GPU offloading, and fresh AI-native integrations with Google Cloud and Vercel show where it’s headed: less dev environment, more AI runtime engine. Under the hood, Docker drop.. read more  

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@kaptain shared a link, 1 month, 1 week ago
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Dockhand - The Ultimate Self-Hosted Docker Management Tool

Dockhand just dropped, and it's aiming straight at the bloated SaaS stack. It’s a fully self-hosted Docker management tool with zero license walls. Local or remote? Doesn’t matter. It even plays nice behind NAT using outbound WebSocket agents. You get container lifecycle controls, a visual Compose e.. read more  

Dockhand - The Ultimate Self-Hosted Docker Management Tool
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@kaptain shared a link, 1 month, 1 week ago
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v1.35: Mutable PersistentVolume Node Affinity (alpha)

Kubernetes 1.35 (alpha) cracks openPersistentVolume node affinity. You can now update it on the fly. Before, it was locked down - once set, it stayed set. That got in the way of shifting workloads when disks were upgraded or moved across zones. Now? More flexibility. Less pain... read more  

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@kala shared a link, 1 month, 1 week ago
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How to build a Frontend for LangChain Deep Agents with CopilotKit!

LangChain recently introduced Deep Agents: a new way to build structured, multi-agent systems that can plan, delegate, and reason across multiple steps. It comes with built-in planning, a filesystem for context, and subagent spawning. But connecting that agent to a real frontend is still surprisingl.. read more  

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@kala shared a link, 1 month, 1 week ago
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How to Train an AI Agent for Command-Line Tasks with Synthetic Data and Reinforcement Learning

NVIDIA shows how to fine-tuneNemotron-Nano-9B-V2to handle new CLI tools - without touching real user data. The trick? A mix ofsynthetic data,reinforcement learning with verifiable rewards (RLVR), and their home-grown trainer stack:NeMo GymplusGRPO. The result: an LLM agent that adapts fast, plays ni.. read more  

How to Train an AI Agent for Command-Line Tasks with Synthetic Data and Reinforcement Learning
The "Nano Banana Pro" is an AI image generation and editing model. It is built on the Gemini 3.0 Pro reasoning engine. It is designed to create visuals from ideas. Nano Banana Pro plans scenes before rendering. This ensures high-quality results. It can generate text in multiple languages directly within the image.

The model offers advanced creative controls. Users can specify camera angles, lighting conditions, and depth of field. It has editing features, like "multi-image fusion". Up to 14 reference images can be combined. This maintains consistent branding, character identity, and style. Its "search grounding" capability uses real-time information from Google Search. This produces accurate infographics or diagrams.

The visuals are available in up to 4K resolution. They are suitable for social media posts to print materials. They are generated in seconds. Nano Banana Pro is available across the Google Gemini interface, Google Cloud for enterprise clients, and integrated into popular creative software like Adobe Photoshop.