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Hands-on experience with AI, self-hosting, Linux, and the developer tools I actually use

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Hands-on experience with AI, self-hosting, Linux, and the developer tools I actually use

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CSS Subgrid Reaches 92% Baseline: Align Cards Natively

CSS Subgrid Reaches 92% Baseline: Align Cards Natively

CSS subgrid lets a nested grid inherit its parent’s track sizes. Child elements inside nested components line up with the parent layout. No flat HTML, no JavaScript height math, no hardcoded min-heights. It shipped in every major browser by late 2023, sits at about 92% global usage, and is safe on any modern web project today.

Ever fought a card grid where the buttons won’t line up because one card has a longer description? Subgrid is the fix you’ve been waiting for.

A lightning-bolt-shaped racing vehicle speeds across a landscape of terminal windows while small subagents fan out and a rocket waits on a launchpad.

Gemini 3.5 Flash: 76% on Terminal-Bench, 4x Faster Output

Google released Gemini 3.5 Flash on May 19, 2026. The fast, lower-cost tier scored 76.2% on Terminal-Bench 2.1 and, by Google’s own measure, generates output about 4 times faster than other frontier models. Flash is available today across the Gemini app, Search, and the API. Gemini 3.5 Pro is confirmed for next month.

Key Takeaways

  • Gemini 3.5 Flash launched on May 19, 2026 and is free to use in the Gemini app and Google Search.
  • It scored 76.2% on Terminal-Bench 2.1, a test of finishing real terminal tasks end to end.
  • Google says Flash produces output about 4 times faster than rival frontier models.
  • The model is built for agents that run long, multi-step jobs and call tools.
  • Gemini 3.5 Pro, the larger sibling, is confirmed for next month.

What is Gemini 3.5 Flash?

Gemini 3.5 Flash is Google’s new fast, lower-cost tier of the Gemini 3.5 family. It was announced and made generally available on May 19, 2026, according to the Google announcement post . The “Flash” name has always meant a model tuned for speed and price.

Is the StarFive VisionFive 2 the Best RISC-V SBC for Developers?

Is the StarFive VisionFive 2 the Best RISC-V SBC for Developers?

For most developers wanting hands-on RISC-V in 2026, the StarFive VisionFive 2 at $65 for the 8GB model is the most practical entry point. It runs Debian 13 (Trixie) on the JH7110 quad-core SiFive U74 at 1.5GHz, ships with an Imagination BXE-4-32 GPU that now has mainline Mesa Vulkan drivers, supports Docker and NVMe via kernel 6.6+ LTS, and delivers roughly 60-70% of a Raspberry Pi 4’s single-threaded speed. That gap is smaller than you might expect when the goal is learning RISC-V toolchain internals. The ecosystem here has matured enough that you spend time writing code, not fighting drivers.

Two identical metal engine blocks on a workbench, the second one fed by funnels of code fragments and tuned by a robotic precision arm.

Cursor Composer 2.5 vs Composer 2: What Actually Changed

Cursor Composer 2.5 is an incremental upgrade over Composer 2, not a new model. Both run on Moonshot’s open-source Kimi K2.5 checkpoint, so the entire difference is training. Composer 2.5 learned from 25x more synthetic coding tasks plus targeted reinforcement learning. Standard pricing holds at $0.50 per million input tokens.

Key Takeaways

  • Composer 2.5 and Composer 2 share the same open-source base model, so only the training changed.
  • Cursor trained Composer 2.5 on 25 times more synthetic coding tasks than the older version.
  • The standard model costs $0.50 per million input tokens and $2.50 per million output tokens.
  • A faster variant exists for $3.00 input and $15.00 output per million tokens.
  • Cursor is now building a much larger coding model from scratch with 10x more compute.

What is Cursor Composer 2.5?

Composer 2.5 is Cursor’s in-house coding model and the direct successor to Composer 2. It runs inside the Cursor editor, which slots into a crowded field of AI coding tools . The model is built for sustained work, not just quick one-shot answers.

NATS JetStream vs Kafka: Simpler Ops, Sub-Millisecond Latency

NATS JetStream vs Kafka: Simpler Ops, Sub-Millisecond Latency

To wire up loose Python microservices, use NATS JetStream as the message bus with the nats-py client. JetStream gives you durable consumers, full stream replay, and exactly-once delivery through message dedup and double-ack. It does this in sub-millisecond time, with one small server binary. No Kafka brokers, no ZooKeeper.

This guide covers JetStream setup, pub/sub with durable consumers, a three-service order pipeline, and the steps to harden it for production.

Why NATS JetStream Over Kafka or RabbitMQ

Before any code, it helps to see why NATS keeps showing up in chats that once went straight to Kafka or RabbitMQ. The short answer: a lot less ops work.

Blender MCP: Control Blender With Claude AI Through Natural Language

Blender MCP: Control Blender With Claude AI Through Natural Language

Siddhartha Ahuja’s Blender MCP is the open-source project that puts Claude at the Blender keyboard. A Model Context Protocol server talks to a Blender add-on over a TCP socket on port 9876. From there, Claude can build shapes, paint materials, read the scene, pull free assets from Poly Haven , make meshes through Hyper3D Rodin , import Sketchfab models, and run any Python inside Blender. The repo has 19,694 stars, an MIT license, and sits at version 1.5.5. Similar add-ons exist for Unreal, Godot, Maya, and Figma. This one has the biggest crowd and the deepest tool list by far.

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What X and Reddit Users Are Saying about Claude Opus 4.7

What X and Reddit Users Are Saying about Claude Opus 4.7

How power users on X and Reddit reacted to Claude Opus 4.7: praise for agentic coding, token burn concerns, and teams' practical prompting habits.

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Run FLUX 2 Locally in 2026: VRAM by GPU + ComfyUI Setup

Run FLUX 2 locally in ComfyUI. VRAM by GPU from 8GB to 24GB, GGUF builds, the variant that fits your card, cost versus cloud, and the files to grab.

Alacritty vs. Kitty: Best High-Performance Linux Terminal

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Alacritty vs Kitty in 2026: emoji and Unicode rendering, real benchmarks, latency, memory, maintainer reputation, and the right terminal for your workflow.

Hyprland vs Sway vs COSMIC: Best Wayland Compositor for Developers in 2026

Hyprland vs Sway vs COSMIC: Best Wayland Compositor for Developers in 2026

Compare Sway, Hyprland, and COSMIC Wayland compositors. Covers tiling models, display handling, plugin ecosystems, and stability for your workflow.

Running Gemma 4 26B MoE on 8GB VRAM: Three Strategies That Work

Running Gemma 4 26B MoE on 8GB VRAM: Three Strategies That Work

Run Google Gemma 4 26B MoE with sparse activation on budget 8GB GPUs using aggressive quantization, GPU-CPU layer offloading, and tensor parallelism techniques.

Three roped climbers ascend a cliff whose contour lines form a topographic curve over stacked memory chips at the base.

Local Image Models in 2026: Qwen vs FLUX vs SDXL on VRAM

Compare the best local image generation models on text-in-image accuracy, prompt adherence, VRAM, speed, and license to find your quality-per-VRAM sweet spot.

AI Coding Benchmarks in 2026: Why the Leaderboard You Pick Decides the Winner

AI Coding Benchmarks in 2026: Why the Leaderboard You Pick Decides the Winner

AI coding benchmarks produce wildly different rankings. Which models win depends on which benchmark you choose and which agent framework wraps them.

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