10 Claude Code Tips That Will Change How You Code (2026) https://lnkd.in/d7tnTWNj Getting started with claude code, Master Claude Code in 2026 with these 10 high-impact tips — from CLAUDE.md project memory to running 5 AI agents in parallel with git worktrees. Whether you're a beginner or already using Claude Code daily, these features will fundamentally change your workflow. 📌 GitHub repo for this channel: https://lnkd.in/daQnAtp8 #ClaudeCode #AICoding #DeveloperTips
Master Claude Code with 10 Essential Tips for 2026
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Most people who do AI development are not aware that they are wasting up to 50% of their quotas. This is not about being smart and using "other" weaker systems or LLMs, this is about setting up changes, installing tools, and making smart changes to your settings. If you are running out of your quotas too quickly with Claude and Codex you'll want to attend this session on Friday. We will also be discussing additional token savings that are not open source and why they are possible. In this webinar we will be sharing lessons, internal studies, discussing our internal version of git (forked from Gitlab, designed to be agent first). Our tuition is your acceleration in the agentic coding race. Webinar will be Friday May 1st: 12pm PST / 1pm MST / 3pm EST Register here: https://bit.ly/4d6ATas
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Vibe coding is here. Your Git workflow hasn't caught up, until now. When AI writes your code, you need more than just git log. You need to know: - Which AI tool wrote each line - What prompt generated which commits - How to revert a single AI interaction without touching the rest That's what we're building with oxigit, an AI-native Git platform that tracks every prompt, every session, and every commit across tools like Claude Code, Codex and Gemini. One-click revert. Session squash. Prompt-level granularity. All self-hosted in Rust. Soon at oxigit.com #VibeCoding #Git #AI #DeveloperTools #OpenSource #Rust
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🚨 LLM-generated code is becoming harder to debug. AI agents can now: write code modify files run commands fix bugs But there’s a problem. When something breaks, it’s almost impossible to see how the agent actually got there. The workflow becomes a black box. So I built something to explore this problem. 🔗 https://lnkd.in/dVfzXaMH It’s a Mini Claude Code with one key addition: 👉 A browser-based debugging visualization for the entire agent workflow. What it does 💻 Claude-style CLI Interact with the coding agent directly from the terminal — similar to the workflow used in modern AI coding tools. 🌐 Visual debugging in the browser Instead of guessing what the agent did, you can see the full execution flow, including: • reasoning steps • tool calls • debugging loops • execution flow This makes LLM-generated codebases much easier to understand and debug. #AIEngineering #LLMAgents #DeveloperTools #GenerativeAI #OpenSource #BuildInPublic #MachineLearning
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96% of developers don't fully trust AI-generated code. Yet AI investment is at an all-time high. That tension is defining 2026. 🤖⚡ Welcome to the pulse of The Vibe Coding Report Vol. 17 — curated by Global AI Media by Thapelo Moloantoa. Here's what's shaping the future of software development right now: 🚀 CURSOR 3 INTRODUCES "AGENT FLEETS" Parallel agent execution across multiple worktrees and remote SSH contexts. Developers can now run many coding agents simultaneously — this isn't just autocomplete anymore. This is orchestration at scale. 🏢 GITHUB COPILOT ENTERPRISE DOUBLES DOWN ON GOVERNANCE • Org-level custom instructions now GA Lets catch up again soon..
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Reproducing bug reports is one of the most time-consuming parts of maintaining an open source project 🐛 So we built an AI agent that does it for us! Repro-Bot reads GitHub issues, spins up the right environment, attempts to reproduce bugs automatically... and then writes up what it found. In this post, Nathan Voxland shares how it works and opens the code, so other teams can build their own → https://buff.ly/OjOfpFe
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GitHub Plugin Makes AI Agents Groan During Debugging: New GitHub plugin (reported Apr 26, 2026) adds escalating vocalizations to AI coding agents; raises questions for developer tooling and enterprise governan http://dlvr.it/TSDkRD 👈 Read full analysis #GitHub #AI #Debugging #DeveloperTools #MachineLearning
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I typed "@claude implement rate limiting on this endpoint" in a GitHub issue. Claude read the thread, wrote the code, and opened a PR — with tests. There is a GitHub integration that turns Claude Code into an autonomous team member. It reviews every PR and responds to @claude mentions in issues. Most .NET teams I know have not touched this yet. Swipe to see how to set it up in three steps — including the YAML that makes it fully automatic. --- Hot take: most AI PR review comments I have seen are better structured than most human first-pass reviews. Has AI review actually caught something real in your repo — or is it still noise? #claude #github #ai #developertools #practicalai
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The Death of the Unlimited Vibe: Why GitHub Copilot is Gating the Future The era of "all-you-can-prompt" is coming to an end. 🛑 GitHub’s latest changes to Copilot Individual plans are more than just a pricing update—they are the first major reality check for the "Vibe Coding" movement. When every prompt could counts against a weekly limit! Read the full breakdown below! Everything Mr. Osama Elzero said about why programmers should learn the fundamentals of programming rather than fully relying on AI and "Vibe Coding" turned out to be true! ------------------------------------------------------------------------------------- #SoftwareEngineering #AI #GitHubCopilot #VibeCoding #GenerativeAI #Productivity #TechTrends #WebDev #FutureOfWork
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git commit -m "I didn't write this" That's the name of our session at Minnebar 20 on May 2nd. Jackson Tomlinson and I are going to build software live (yes, using AI-assisted development) and as the bots are churning tokens we can talk about what we've found that works and what hasn't been as helpful. The point isn't "look how fast or great AI is." The point is that building great software still requires people who understand what and how to build. Architecture, data modeling, user experience, knowing when to listen to a tool, when to lean into it, and when to just blow it up and start over is more important than ever. Expertise matters more now, you just spend less time typing. If you're an experienced developer curious about AI workflows, or a skeptic who wants to see where the edges cut deepest, please join us. Minnebar 20, May 2nd https://lnkd.in/gxNaftHR And, of course, you know implicit in all of the above is follow the session link and let the world know you will attend our session. #minnebar20 #softwareengineering #AI #buildinginpublic
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𝗦𝘁𝗼𝗽 𝗕𝘂𝗿𝗻𝗶𝗻𝗴 𝗧𝗼𝗸𝗲𝗻𝘀 𝗯𝘆 𝗦𝗰𝗮𝗻𝗻𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗘𝗻𝘁𝗶𝗿𝗲 𝗖𝗼𝗱𝗲𝗯𝗮𝘀𝗲 🧠 FreePeak just released LeanKG, a local-first knowledge graph that maps your project's dependencies so your AI tools don't have to read every single file. Instead of wasting 10,000 tokens on a full codebase scan, tools like Cursor and Claude Code can query the graph directly and get targeted context for just 13 to 42 tokens. 📻 The signal: We are hitting the upper limits of throwing raw context windows at coding problems. The next massive leap in developer productivity won't come from bigger models, but from hyper-efficient, local routing systems that feed the AI exactly what it needs and nothing else. GitHub: https://lnkd.in/epaqWZZc ─── 🤖 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗔𝗜 𝗻𝗲𝘄𝘀, 𝗷𝗼𝗶𝗻 𝗼𝘂𝗿 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 𝗰𝗵𝗮𝗻𝗻𝗲𝗹: https://t.me/genaispot
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