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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.

Claude Agent SDK: Build Custom AI Agents Without Reinventing the Orchestration Layer

Claude Agent SDK: Build Custom AI Agents Without Reinventing the Orchestration Layer

The Claude Agent SDK is the Claude Code engine stripped down to a library. Same agent loop, same built-in tools, same context handling, but you call it from your own Python or TypeScript code instead of the CLI. If you’ve used Claude Code to read files, run shell commands, search codebases, and edit code, the SDK points that same machinery at any problem you want. No human needs to sit in the loop.

Claude Code for Data Analysis: Process 500K Rows Without Writing Code

Claude Code for Data Analysis: Process 500K Rows Without Writing Code

Yes, you can point Claude Code at a 541,909-row retail dataset and walk away with a six-sheet Excel workbook, professional charts, and a parameterized report script, without opening a Python file or debugging a single line of code. The complete workflow takes roughly 15 to 20 minutes from raw data to finished output.

The goal is real delegation. Claude handles setup, cleaning, math, and charts. You focus on the right questions to ask.

Smartphone showing a fingerprint and face-ID prompt next to a titanium USB-C hardware security key on a dark surface

Passkeys and WebAuthn: Ship Passwordless Login With One Evening of Work

Passkeys swap passwords for a public/private keypair kept in the device keychain and unlocked by Face ID, Touch ID, or Windows Hello. The WebAuthn API does the crypto work, while @simplewebauthn/server version 13.3.0 covers Node, Bun, and Deno backends. Sign-up, autofill login, and account recovery all fit in one evening of work.

What Passkeys Actually Are and Why 2026 Is the Year to Ship Them

A passkey is a public/private keypair made on the user’s device. The private key never leaves the secure enclave (Secure Enclave on Apple hardware, StrongBox on Android, TPM on Windows). Only a signed challenge travels over the wire. Your server stores no shared secret to steal and no hash to crack offline. The signature is bound to your domain, so it can’t be phished. If a user visits examp1e.com instead of example.com, the browser refuses to sign. Credential phishing ends at the protocol layer.

Bluetooth Proxies Under $20: Room Detection with ESP32-C3

Bluetooth Proxies Under $20: Room Detection with ESP32-C3

Drop a few ESP32 boards ($3-8 each) flashed with ESPHome ’s Bluetooth Proxy firmware into rooms where BLE devices drop out. Home Assistant then routes Bluetooth traffic through the nearest proxy on its own. Each proxy adds about 10-15 meters of BLE coverage through interior walls, needs only a USB power cable, and works with HA’s native Bluetooth setup. The BLE devices themselves need no config changes. They have no idea they’re talking through a relay.

Claude Code in CI/CD: Automate PR Reviews and Issue Fixes with GitHub Actions

Claude Code in CI/CD: Automate PR Reviews and Issue Fixes with GitHub Actions

Anthropic ships claude-code-action , an official GitHub Action that runs the full Claude Code runtime inside your CI/CD pipeline. It reviews pull requests, builds features from issues when someone types @claude, writes tests, updates docs, and drafts release notes. It also respects your repo’s CLAUDE.md coding rules. The runtime runs on a GitHub Actions runner, with tool use, file reads, and multi-step reasoning.

It ships with four auth backends: Anthropic API, AWS Bedrock, Google Vertex AI, and Microsoft Foundry. It also has a sister claude-code-security-review action for vuln scans, native GitLab CI/CD support, and real deployments. Deriv runs it across 700+ repos, handling 100+ PRs per week. So this has moved past the demo stage. Teams now wire it into merge gates next to linters and test suites.

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Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

Gemma 4, Qwen 3.5, and Llama 4 compared on benchmarks, licensing, speed, and hardware so you can pick the right open model fast.

5 Open Source Repos That Make Claude Code Unstoppable

5 Open Source Repos That Make Claude Code Unstoppable

Five March 2026 repos extend Claude Code with autonomous ML, self-healing skills, GUI automation, multi-agent coordination, and Google Workspace access.

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DeepSeek V4 Tech Report: 3 Tricks That Cut Compute 73%

DeepSeek V4 ships 1.6T parameters and 1M context using only 27% of V3.2's inference FLOPs. Inside the hybrid attention, mHC residuals, and Muon optimizer.

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GPT 5.5 Reddit Reception: Goblins and the Cost Backlash

GPT-5.5 Reddit reception: viral goblin prompt leak, doubled pricing backlash, and 5.4 holdouts citing hallucination regressions in factual recall workflows.

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.

Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

Alibaba's sparse Mixture-of-Experts: 35B total parameters, 3B active per token. Q4 quantization runs on MacBook Pro M5, matches Claude Sonnet performance.

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Compare Alacritty and Kitty terminal emulators: performance benchmarks, latency, memory use, startup time, and which fits your Linux workflow best.

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