The new way of working with AI isn't about coding. It's about steering. One of the most underrated Claude Code tricks: you're not a passenger in the session. You're the pilot. Claude starts going down the wrong path? Hit Esc. Stop it mid-action before it compounds the mistake. Then type # — this drops a memory directly into your CLAUDE.md, permanently updating what Claude knows about your project. Combine both and you've just closed a feedback loop: Esc → stop the wrong action # → teach Claude the right one Continue → never see that mistake again The screenshot shows exactly this in practice. Claude tried to read vitest.config.ts. File doesn't exist. Instead of letting it spiral, interrupt, drop a memory: "vitest config is in vitest.config.mts" — done. That correction now lives in the project context for every future session. This is what steering looks like. Not prompting better. Not rephrasing. Actively shaping how your AI agent understands your codebase over time. Your CLAUDE.md is a living document. Treat it like one. #ClaudeCode #AIEngineering #DeveloperProductivity #Anthropic #AgenticAI #AIWorkflows #BuildingWithAI #DevTools
Steer AI with Claude Code: Stop Mistakes, Update Knowledge
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We've been testing GLM 5.1 against our usual coding benchmark suite. Zhipu AI just dropped something interesting. Their new model scored 58.4 on SweetBench Pro. That edges out GPT-4o (57.7) and Claude Opus (57.3) on real coding tasks. The visual reasoning benchmarks tell a similar story. GLM 5.1 consistently outperformed both models on multimodal tasks we actually use in client work. What caught our attention wasn't the scores though. It was the agentic architecture. The model handles persistent memory better than anything we've tested from Western labs. We're already integrating it into three client dashboards. The code generation feels different. More contextually aware. Less back-and-forth needed. Chinese AI labs aren't just catching up anymore. They're setting new benchmarks. #AI #coding #automation
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Most developers use Claude Code daily — but rarely think about what's happening under the hood. This is a solid system design breakdown of Claude Code as an AI coding agent: → How it perceives context (your codebase, terminal, files) → How it plans and executes multi-step tasks → The feedback loops that make it feel "intelligent" → Where it can fail — and why Worth a watch if you're working with AI tools or building agent systems. Link in comments👇 #AIEngineering #SystemDesign #ClaudeCode #SoftwareArchitecture #AIAgents
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Claude Code 101 — done. ✅ Key things that stood out to me: → Agentic coding isn't about shortcuts it's about a fundamentally different workflow. → Context management is everything when working with AI in large codebases. → The possibilities with MCP integrations are massive. → Skills let you build custom subagents to delegate tasks and keep your main context clean. → Hooks give you deterministic control — formatting, command blocking, notifications. "The developer tool landscape in 2026 is moving fast. Staying current isn't optional anymore." #AI #ClaudeCode #Anthropic #SoftwareDevelopment #TechSkills
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2026 is the year of Vibe Coding describing what you want in plain language and letting AI generate most of the code. 92% of US developers now use AI tools daily, and nearly half of new code is AI-generated. The shift is real: less manual typing, more focus on architecture, user experience, and reviewing output. But with great power comes responsibility — security, debugging, and maintainability are the new challenges. How are you incorporating AI (vibe coding, agents, or tools like Sidekick) into your workflow this year? Wins or warnings welcome! #WebDevelopment #AICoding #VibeCoding #TechTrends2026
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Just tried Kimi K2.6 on Ollama and honestly, this is where open-source AI gets serious. We’re talking about a model that doesn’t just generate code… it can run multi-step tasks for hours, orchestrate hundreds of agents, and deliver end-to-end outputs autonomously. A few things that stood out: - Long-horizon coding (not just snippets, but real systems) - Agent “swarm” execution (hundreds of parallel subtasks) - Multimodal + 256K context Curious how far this can go in real production workflows. Anyone already experimenting with it?
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Green pipeline. Every gate passed. You ship. Three months later, you’re in a war room. In Part 2 of the AI Coding Reality Series, Roger Ruttimann (Engineering Leadership, ReWeaver AI breaks down the 7 gaps between AI-generated code and production-ready software — including one no automated tool can catch. Read the full article: https://lnkd.in/g_r-jMJs #AI #SoftwareEngineering #EngineeringLeadership #AIDev #vibecoding #productionready
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Good day to you. Are you ready for me to unveil another AI concern? Concerns should be normalized and not seen as negative. Booo. I told Claude that I was concerned and not willing to install it's terminal code for Claude Code, the tab and feature for building your own agentic AI. Start with, "What is agentic AI and how do I use "Code" to automate a task. Plan on it being way more over your head than you thought, however, consider that there is Vibe Coding (still very very much in BETA) and you could use Gemini but I told claude I didn't like the idea of giving it terminal code. I asked, what happens when you change your mind or evolve next week. Here is it's reply. You decide but I think it a bad idea to leave dead code in your operating system. "The residue problem you identified is real. Claude Code writes to your local filesystem, installs npm packages, modifies config files — and those artifacts stay after the session ends. For someone who values clean, intentional systems, that's meaningful overhead." - Claude #claude #ai #code #llm #anthropic
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Stop Re-Explaining Yourself to AI Every Single Time. Claude Projects eliminate the biggest time drain in AI tasks: Repeating context. Upload your files once. Set your rules once. Claude remembers so you don’t start from zero in every conversation. Why this matters: • Context persistence– Your codebase, style guide, and project history stay loaded. No more re-uploading or re-explaining. • Custom instructions– Set project-level rules (tone, format, coding standards) that apply automatically to every chat. • Organized artifacts– Code and documents live in the project space. Easy iteration, no scattered chat history. • Repository analysis– Use /init to scan your repo. Claude builds a structure file and understands your project instantly. Ensure you review the Claude.md file as it could be wrong or outdated The shift: From briefing a new contractor daily to working with someone who already knows your project cold. If you're still copying context into every chat, you're leaving serious productivity on the table.
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