DevSwarm 2.0: Beyond Git Worktrees for Parallel AI Coding

Updated Claude Code Guide, now 14 comprehensive chapters. From installation basics to advanced features. Here's what changed: 3 brand new chapters: - Plugins: Skills are now shareable packages with manifests, bin/ executables, and marketplace publishing - Agent SDK: Python and TypeScript SDKs for embedding the full agent loop into CI/CD pipelines and production apps - Computer Use: Native desktop GUI control with per-app approval and safety-first design 5 major rewrites covering: - 1M-token Opus context windows and Auto Mode permissions - 24 lifecycle hook events (up from 18) with conditional filtering - Enterprise governance with managed-settings.d/ policy layering - Custom Skills with path-based activation and plugin migration paths - Six permission modes for organizational deployment Plus a new interactive cheatsheet, organized by workflow, not alphabetically. Print-friendly SVG included. The guide's core thesis hasn't changed: context engineering is the skill that separates good AI-assisted development from great. CLAUDE.md files, memory hierarchies, tool restrictions, and hook automation are the levers. The new chapters extend that into distribution (Plugins), automation (Agent SDK), and desktop control (Computer Use). 14 chapters. Zero fluff. Everything a practitioner needs from first install to organizational rollout. What's new in the refresh: https://lnkd.in/g57v924q Read the full guide: https://lnkd.in/g-6cz-et  #ClaudeCode #AIEngineering #ContextEngineering #DevTools #Anthropic

Claude Code has become a core part of my workflow. At this point, I can’t imagine implementing or debugging features without it. Even when I open an IDE like Cursor or Antigravity, I still end up using the Claude Code extension inside it. That said, recent rate limit changes are starting to hurt. I run multiple background tasks across projects, and long debugging sessions with detailed logs can burn through limits surprisingly fast. I’ve hit the cap in ~2–3 hours of heavy debugging, even on the Max plan. That forces you to think twice before running deeper iterations, which is not a great place to be as a developer. To work around this, I’ve started using Opencode for longer debugging sessions. It requires more manual control, but it’s been reliable enough for extended runs. Curious how others are dealing with this. Are you optimizing prompts, switching tools, or just absorbing the limits? #AgenticDevelopment #LLM #ClaudeCode #RateLimits #DevWorkflow #GenAI

🚨 Developers, your code review might be out of date GitHub Copilot 2.0 Launches with Real Time Debugging 🚀 GitHub released Copilot 2.0 this week, adding live debugging and contextual AI suggestions that run directly inside VS Code. The update also supports TypeScript, Python, and Go out of the box, and it now learns from your commit history. Why it matters This means developers can catch bugs before they hit production, reducing the mean time to resolve issues by up to 30% according to a recent internal benchmark. For agencies, it speeds up sprint cycles and cuts rework. My take as a 9‑year veteran As someone who has built 10+ production sites, I see this as a big win. The real test will be how well the AI keeps up with complex legacy codebases. I’m excited to experiment, but I’ll keep an eye on false positives. What do you think? 💡 Overhyped or game changer? Check if your current IDE can integrate Copilot 2.0 and start a trial. #TechNews #WebDevelopment #AI #GitHub #Copilot #VSCode #Debugging #DeveloperTools #Productivity #Coding #Innovation #SoftwareEngineering #DigitalTransformation #TechTrends #FutureOfWork

Claude Code offers a comprehensive toolkit with 16 sections that cover everything developers need. Many of us utilize only about 10% of Claude Code's capabilities. They are familiar with commands like /help and @file, but often overlook features such as Plan Mode, subagents, hooks, and the /rewind command, which can undo a half-broken refactor without resorting to git reset. To assist, I created a one-page cheatsheet that highlights the essential elements for production: - Install instructions, CLI flags, and all built-in slash commands - Keyboard shortcuts and the three modes: Normal, Auto-Accept, and Plan - Extended Thinking: managing think and ultrathink budgets - Checkpointing and /rewind, including the bash caveat that often confuses users - CLAUDE.md memory and .claude/settings.json permissions - Custom slash commands, Skills, Subagents, and Hooks - MCP servers, cost tracking, and model routing - Eight pro recipes that would have been beneficial from day one Save this cheatsheet and keep it handy next to your terminal. Share it with any developers on your team who are still typing prompts into the chat box. What’s your most-used Claude Code command? Feel free to share in the comments. #ClaudeCode #Anthropic #AICoding #DeveloperTools #DevTools #GenerativeAI #AgenticAI #LLM #AIEngineering #SoftwareEngineering #Coding #Productivity #MCP #ModelContextProtocol #BuildInPublic #Terminal #CLI #VSCode #GitHub #OpenSource #TechCommunity #AIAgents #PromptEngineering #ContextEngineering #FutureOfWork #CareerInTech #OnYourRank #LinkedInLearning #100DaysOfCode #CodingLife

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘁𝗲𝗮𝗺𝘀 𝘀𝗵𝗼𝘂𝗹𝗱𝗻’𝘁 𝘁𝗮𝗸𝗲 𝟭,𝟬𝟬𝟬+ 𝗹𝗶𝗻𝗲𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻. But right now, it does. You write config. Debug connections. Rewrite boilerplate. Repeat for days. We built Agno Builder to fix that. 👉 Drag agents onto a canvas. 👉 Connect them into teams. 👉 Test with real chat. 👉 Export production ready code and pass it to devs Today we are shipping v1.3.0. Here’s what’s new 👉 Sign in with Google, GitHub, or Apple 👉 3 pricing tiers (free tier included, no credit card) 👉 120+ tools across 12 categories 👉 DB persistence and chat history 👉 10+ templates with coordinator + sub-agents The free tier gives you 1 workflow, 3 agents, and 5 messages/day. 𝗘𝗻𝗼𝘂𝗴𝗵 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗿𝗲𝗮𝗹 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝘀𝗽𝗲𝗻𝗱 𝗮 𝗱𝗼𝗹𝗹𝗮𝗿. Watch the full 2-min walkthrough below. What’s the first agent workflow you would build? agnobuilder[.]com #AIAgents #BuildInPublic #AgnoBuilder #Python #NoCode

Hello! I’ve just started a blog series where I’ll be rewriting the lz4 compression algorithm (a C codebase) into Rust 🦀 This is mainly for learning purposes, but I thought it’d be useful (and fun) to document the whole process and lessons along the way. This first post is devlog #0: choosing the project, setting things up, and wiring a first Rust <-> C function so everything is ready for devlog #1, where things get more interesting. You can check it out here: https://lnkd.in/euQT7P8P

Last month I created and open-sourced rustunnel, a tunneling tool written in Rust. It just hit 613 GitHub stars and ~40 active users — completely organic, zero marketing budget. Then I shared it in a Rust developer community and got roasted by a few people. The reason? I partially built it with Claude Code. I find that genuinely funny. Anthropic themselves built Claude's new CoWork feature 100% with Claude Code. The people building the tool use the tool. The reality is AI-assisted development isn't cheating — it's the next layer of abstraction. We went from punch cards to assembly, assembly to C, C to higher-level languages, and now we have AI pair programmers. Each step had skeptics. 613 stars and 40 users in a few weeks with AI-assisted development? I'll take those results. If you want to judge the output, not the process: https://lnkd.in/eFcXd8DZ If you are curious and want to sign up and test the tool: https://www.rustunnel.com/ PS.: I am about to release UDP tunnels and P2P connections. #rust #opensource #claudecode #aiassisteddevelopment #developerTools

Every developer has two types of confidence: Before writing code: “This is simple. I’ll finish in 30 minutes.” 😌 After running the code: “Why is this even happening?” 😭 Step 1: Write code Step 2: Run code Step 3: Confusion Step 4: Add random puts / console.log Step 5: Somehow it works Step 6: Do not touch anything ever again We don’t debug code. We debug our own expectations. 😄 What’s your usual debugging ritual? #Developers #CodingLife #ProgrammerHumor #SoftwareEngineering #Debugging

Nobody talks enough about this: Being a developer is 70% debugging. Not writing code. Not watching tutorials. Just… figuring out why something isn’t working. Lately, I’ve spent more time: • Reading error messages carefully • Tracing bugs step by step • Fixing things I didn’t even write • Breaking and rebuilding features just to understand them And honestly? That’s where the real growth is happening. Because every bug forces you to: think deeper understand the system better become more patient Clean code is great. But the ability to fix messy code under pressure is what makes you valuable. Still learning. Still debugging. Still improving. #SoftwareEngineering #Debugging #CSharp #DotNet #BackendDevelopment #ProblemSolving #DevLife