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Explyt 5.11 is out 🚀 - vulnerability search for JVM projects - more IDE-native run configs in Rider & WebStorm - MCP servers as subagents - better long-chat handling - Python library code reading in PyCharm Install: explyt.ai/download #JetBrains #AICodingAgent #SAST #MCP
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GitNexus the nervous system for #AI coding agents "As above, so below" just like humans, AI coding agents need to grasp the dependencies, call chains, and references of every component within a project. The more bloated the business logic becomes, the harder this gets. #Gitnexus is an open source tool that helps build the entire project into a "nervous system," making it easy for AI to understand the overlapping links within the code. I've been using it and it's honestly addictive, no more cases of the AI being on a different page #AIAgent #AICodingAgent
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How do you manage your AI coding agent's memory (important part of context engineering)? Most small projects don't run into this issue, but we keep adding rules to CLAUDE.md as we ship features and fix bugs on PaperFox.ai. The file regularly grows past 40k characters, and Claude Code (CC) warns that loading this much every session tanks performance (see Screenshot 1). I used to just ask CC to condense the file by trimming details. That works, but lately we've been hitting the limit too often. So I asked CC to read the official docs. Turns out Claude Code has a feature for exactly this: .claude/rules/ — markdown files with frontmatter declaring which paths they apply to. They load 𝗼𝗻𝗹𝘆 when Claude touches matching code. I split our 600-line CLAUDE.md into a root 14 scoped files (see Screenshot 2). Then I built a small companion skill, /add-to-claude-md, that asks "is this rule cross-cutting or scoped?" before writing the entry — so the CLAUDE.md file doesn't bloat back up. Now our Claude Code memory is modular and context-scoped — much easier to extend and maintain. #AI #ClaudeCode #ContextEngineering #AgenticAI #AICodingAgent #PaperFox #BuildInPublic
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เปิดศึก 3 ก๊ก Qwen CLI vs Cline CLI vs OpenCode CLI ด้านหลังใช้ Qwen3-Coder-Next 80b ตัวเดียวกันรันบน DGX Spark ใครจะอยู่ ใครจะไป มารอดูหลัง 24 ชม.กันจ้าาาาา #localLLM #DGXSpark #AICodingAgent
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playing with #opencode in a personal repository #aicodingagent #CodingLife #CodingJourney
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30 Jul 2025
👋 Say goodbye to prompt spaghetti and copy-paste workflows. Today, we’re launching InsForge — an open platform to take your AI Agents from Prompt → Workflow → Production. 👉 insforge.dev 🧵 Here’s why we built it, what it does, and how you can use it 👇 We just launched our open-source version and would love to hear what you think. 🔗 Try it here: github.com/InsForge/InsForge #Supabase #AIcoding #AIcodingagent #InsForge #Lovable
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17 Feb 2025
Can @figma designers benefit from @v0 AI-generated code? Actually, I believe so. In the video below, I request a pricing section with three plans and update it with specific features for each plan. I then open the result in a new tab and capture it with @html_to_design for a @Figma export, complete with autolayout layers. When you have a lot of data, it's a good first draft. Everything is laid out for you in @Figma, ready for editing! #AIApps #AICodingAgent #AI #AIforDesigners
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