Just is the best general command runner for most new projects in 2026. It has Make-like syntax without the tab headaches. It works across Linux, macOS, and Windows. It stays out of your way as a command runner, not a build system. Task wins if your team prefers YAML and you want built-in file watching. Make is still right when you have real file-based compile dependencies or a Makefile that works fine.
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.
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.
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
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 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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