Download AI-Ready Code Documentation as a ZIP

I spent weeks studying how top devs use Claude Code. Most are running it at 20% of its potential. 😬 Here's the full playbook to 10X your output — same hours, zero fluff: 👇 ⚡ Write a CLAUDE.md — your AI onboarding doc 🗺️ Plan before you prompt (saves 20 min per feature) ⚙️ Build custom /commands for PRs, linting & tests 🔌 Connect MCPs — live docs, Notion, GitHub sync 📸 Paste screenshots directly into your prompts 🔀 Run parallel Claude sessions with git worktrees 🔍 Ask Claude to verify its own output (game changer) Power users report 20–40% faster shipping just from tuning their setup. The tool is the same for everyone. The approach is what separates 10X devs from the rest. Save this carousel. Share it with a dev who needs it. What's your #1 Claude Code tip? Drop it below 👇 #ClaudeCode #AIProductivity #DeveloperTools #Anthropic #10XDeveloper #SoftwareEngineering

With SenzoStack, We open-sourced some of our delivery skills library Engineering teams are in two camps right now: 1️⃣ Teams running Agile ceremonies. They feel like they're going through the motions; syncs that surface nothing, sprint planning that's just ticket shuffling, health checks that nobody trusts. 2️⃣ Teams adopting AI-driven development. They are flying blind; no visibility into what's actually working, no way to measure whether AI acceleration is producing leverage or just more mess. We built skills for both. 🔹 Ceremony Skills — Sync Prep, Sprint Planning Prep, Scrum Health, Sprint Report. These plug into your Jira board and give your team real signal before, during, and after every ceremony. No more winging it. 🔹 Delivery Governance Skills — Built for teams in AI-driven development mode. These surface delivery risks, flag anti-patterns, and give leads the visibility they've been asking for. Before things break, not after. Every skill is modular, independently adoptable, MIT licensed, and works with Claude, Claude Code, GitHub Copilot, or any MCP-compatible agent. No platform lock-in. No sales pitch. Just download a zip and go. 👉 Grab the skills: https://lnkd.in/eHfNjJkW 📖 Learn more: https://lnkd.in/eAVxuB74 We always welcome PRs and feedback. #OpenSource #AgileDelivery #AIDrivenDevelopment #EngineeringLeadership #DevOps #SenzoStack

AI coding assistants abound, yet many engineering teams face challenges. At Glean, we understand that the main productivity issue isn’t code writing but tracking context across GitHub, Jira, logs, and Slack. Our software engineer’s field guide to the AI stack outlines the current AI tools, introduces a two-layer model that top teams use, and offers a practical framework for your stack decisions. Get the guide: https://lnkd.in/gy6CAiqd

the gap between people who get CLAUDE CODE and people who don't is getting wider every week👇 ▫️ Full filesystem access: read, write, refactor entire codebases autonomously ▫️ MCP: USB-C for LLMs. GitHub, Slack, Notion, Gmail, PostgreSQL all connected ▫️ Agent model: Analyze → Plan → Execute → Scale ▫️ Project memory via CLAUDEmd, reusable skills, multi-agent delegation Claude evolves from assistant to autonomous teammate to development infrastructure That shift is massive if you're building with AI agents How are you using Claude Code right now?

Documentation doesn't break loudly like code does: it drifts silently until a user gets confused and moves on. The Drasi team came up with a really clever solution: they use GitHub Copilot CLI as a "synthetic new user" that follows their tutorials step-by-step, literally, inside a sandboxed Dev Container. Running weekly via GitHub Actions, this AI agent found 18 real documentation bugs across 200+ sessions: from missing verification steps to implicit dependencies that only experienced devs would know about. If you maintain tutorials or getting-started guides, this approach is definitely worth checking out! https://lnkd.in/dGGc6f7j

If you’ve shipped builds, you know the drill: Crash comes in → you open it → now the real work starts. Figuring out: - where the issue actually is - if it’s new - if it’s platform-specific We built an AI assistant inside AccelByte Development Toolkit that does it: → reads the crash → checks history across builds → identifies likely root cause When connected to your repo (via MCP) and a git server, it can actually trace it down to the source, come up with a fix and stage and commit changes locally. For one crash, this saves a few minutes but for teams processing large crash queues across multiple builds, it removes a significant amount of repetitive triage work, making sure developers don't start from scratch every time. Learn more about it 👉 https://lnkd.in/eXJ2MkBY  

We didn't write another AI charter. We shipped a CLI. Our agents were getting smarter every week. Our context was standing still. Claude Code and Cursor joined every dev team with zero knowledge of how we actually ship code. No awareness of our PR conventions. No grasp of our design system. No sense of how we write ADRs. Every team rewrote the same onboarding prompts. Every agent relearned the same rules. The waste was organizational, not technical. So we stopped writing charters. A month ago, we shipped a context CLI for our engineering org. One command, and the agent knows how we work. Inside it: → A workflow: /design-epic → /refine-epic → /implement. Feature idea to merged PR. → 17 skills covering the full SDLC. → An Org Discovery skill that scans the entire GitHub org before anyone starts. Kills duplicate work and parallel initiatives. → Lockfile, versioning, 5 levels of strictness, multi-tool (Claude Code + Cursor). The shift wasn't technical. It was cultural. An AI charter is a doc that nobody updates. A context CLI is a product that ships every week. One sits on a shared drive. The other runs on every laptop that needs it. My conviction: AI context at scale is not a committee deliverable. It's a package manager. CTOs: if your AI agents know your stack better than your onboarding doc, what exactly is your onboarding doc for? #AILeadership #AgenticCoding #EngineeringLeadership #AITransformation

This article discusses essential AI tools that can significantly enhance productivity for software developers. I found it interesting that integrating these tools like GitHub Copilot and Claude Code can streamline development processes and improve overall efficiency. How have AI tools changed your own development workflow?

Claw Code just shattered all GitHub records, hitting 50K stars in a mind-blowing 2 hours ⭐ It's not just an archive of leaked Claude Code. It's about harnessing tools and making real things done for AI agents. Now, it's getting even faster ⚡ Free and open-source! → Record-breaking 50K stars in 2 hours ⭐ → Better Harness Tools, not merely storing code → Rewriting in Rust for a faster, memory-safe harness runtime ⚡ → Built with oh-my-codex (OmX) AI orchestration Some great use cases: #1 - Need to build production-ready AI agents? → Claw Code provides architectural insights into robust harness engineering, forged with AI-driven workflows. #2 - Want cutting-edge performance for your agent tools? → The ongoing Rust port promises unparalleled speed and memory safety. #3 - Curious about AI-powered software development? → See how oh-my-codex ($team, $ralph modes) orchestrated this rapid rewrite from scratch. Check out the free, open-source repo: → https://lnkd.in/gga7KiWD ---- ♻️ If this was useful, repost it so others can benefit too. Follow me for more post like this

We just completed two GitHub Copilot sessions! Our teams had the chance to attend GitHub Copilot for Developers and Copilot for Managers. Both sessions were eye‑opening: developers discovered how Copilot can speed up coding, and managers gained clarity on how AI can support productivity, governance, and delivery. Super insightful, practical, and immediately actionable. Excited to see how AI will elevate the way we work! Seeing both technical and non‑technical roles align around the same goal: leveraging AI to build smarter, faster, and more efficiently. AI isn’t replacing developers, it’s empowering them. AI isn’t confusing managers, it’s giving them visibility and confidence. A big thanks to the facilitator for the guidance and energy (Mickaël LOPES, Rosan Vingalalon) and their experts (Thierry Madkaud , Julien Strebler & Damien Aicheh)