Claude Code can build full apps. These 8 repos make it build them better. PLAN IT gstack → Garry Tan's setup that gives Claude Code roles like founder, eng manager and QA github.com/garrytan/gstack STAFF IT claude-flow → runs swarms of agents working together github.com/ruvnet/claude-flo… oh-my-claudecode → multi agent orchestration on top of Claude Code github.com/Yuyz0112/oh-my-cl… orca → parallel agents github.com/stablyai/orca REMEMBER IT claude-mem → memory that survives between sessions github.com/thedotmack/claude… context-mode → keeps tool output from flooding the context github.com/mksglu/context-mo… DO IT RIGHT agent-skills → senior engineer habits: specs, TDD, reviews github.com/addyosmani/agent-… everything-claude-code → agents, skills, hooks and configs in one place github.com/affaan-m/everythi… Bookmark this.

Code Review is now generally available for Claude Team and Enterprise plans. Reviews are now faster, catch more of the bugs that matter, and admins can pick from Quick, Standard, or Deep review levels for each repo.

Verification is one of the most important things for getting great results out of your agent. Clearly define "done" before code review starts. A reviewer, human or agent, asked to find bugs without this may still find something that could be improved. Give Claude checks it can run (bash commands, tests, clicking through the app in a browser) and have it pass that too before it says it's finished. When nothing blocks merge and ship.

six Claude agents. one task. 27 blocks in 15.4 seconds and none of them works alone CLOUD CREW is a multi-agent terminal about how Claude subagents actually split the work most ai agent setups are still one chat, one tab and a prayer to the long context. CLOUD CREW runs a LEAD agent and 5 subagents on one cloud, with one shared context and one context bus the idea: a task is not a prompt. a task is a build site where every agent has its own shift i built a crew of 6 robots around one task core. each one carries its own blocks, hands off to a neighbor and drops the result into one merge what runs under the hood: 1. LEAD agent: orchestration · decompose task → 27 blocks · 4 phases of 6s · PLAN → BUILD → REVIEW → SHIP 2. PLANNER: task graph · 1 root → 6 subtasks → merge → review → ship · every node's progress is computed from the timeline, not drawn by hand 3. BUILDER·A + BUILDER·B: parallel tool calls · a new block every 0.5s · 0.9s flight to the core · first block lands at 2.4s, last at 15.4s 4. REVIEWER: code review scan · sweeps all 27 blocks over 12–17s · a block turns green only after the scan · LGTM in the handoff log 5. TESTER: tests green 0 → 100% over 14–18s · no green tests, no SHIP phase 6. CONTEXT BUS: 18 handoff packets in flight · 3s period · 144 handoffs per loop · agent → agent, agent → lead, nobody drops context pipeline: SPAWN → PLAN → ASSIGN → BUILD → REVIEW → TEST → MERGE → SHIP alone each agent is mid: one cube, one function, one diff. together six agents ship the whole task while a solo agent is still reading the repo the novelty is not the robots. the novelty is that the agentic workflow is visible end to end: who plans, who builds, who reviews, who ships keywords: Claude, Claude Code, Anthropic, AI agents, multi-agent system, subagents, agent orchestration, agentic workflow, agent swarm, parallel agents, shared context, context engineering, tool use, tool calls, task decomposition, code review, CI, tests, merge, ship, LLM, AI coding, vibe coding, automation, WebGL2, 3D terminal, generative motion, procedural animation, html terminal, devtools, build in public bookmark this before solo agents stop looking normal edge is open until everyone else stops prompting one tab at a time

If you live in the terminal, this one’s for you. Watch how to start tasks by voice, manage agents across projects, and explore another direction in a separate worktree with the Codex CLI.

Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.

Grok 4.7 is now available on Amazon Bedrock and on Google's Gemini Enterprise Agent Platform. Both platforms already offered Grok 4.6. Grok 4.7 is SpaceXAI's model for coding and knowledge work, and its docs call it the most capable model SpaceXAI has built. On the xAI API, Grok 4.7 has a 500k context window and costs $2 input and $6 output per million tokens below 200k prompt tokens.

Garry Tan, the CEO of Y Combinator, open-sourced 55 ready-made agents for Claude Code Each agent is a slash command in plain Markdown with its own role and rules. 134k stars, MIT. What is inside: > 7 for browser work and scraping > 6 for product planning > 6 for design > 6 for memory and retros > 5 for code review and debugging > 5 for security and guardrails > 5 for QA and performance > 5 for shipping and deploy > 5 for iOS apps > 3 for docs They hand work to each other. /office-hours writes a design doc, the plan reviewers read it, /qa and /ship check against it. Clone it into ~/.claude/skills/gstack, run ./setup, then try /review on any branch.

Codex CLI just got a major refresh, with a new look and powerful new capabilities. We’re continuing to invest in Codex CLI for developers who live in the command line. New full-screen interface, better readability, and ways to manage parallel work, all inside your terminal.

GPT-6.1 Sol: near-Astra intelligence for a fifth of the price. It’s the most cost-efficient model for its performance available today.

Claude Sonnet 5.5 is now available: