We can't get the most out of our Anthropic Claude Licenses - $20/month or $100/month, unless we start creating "thinking" and "self Improving" systems. The real power of tools like Claude Code lies in building structured loops: Input → Reasoning → Execution → Feedback → Memory that turn AI from a tool into a self-improving engine. The future of vibe coding isn’t faster software generation, it’s orchestrating intelligence at scale. #AI #AIArchitecture #AIDevelopment #Claude #ClaudeCode #SystemDesign #FutureOfWork #AIEngineering #Innovation

Margaret-Anne Storey's cognitive debt concept, anchored in Naur's 1985 "Programming as Theory Building," names what velocity metrics miss: a program is a theory held across developers' minds … source code is only the artifact. AI generates 140-200 lines/min while comprehension drops below 40% when developers delegate generation. Confidence in AI tools fell from 43% to 29% … usage climbed to 84%. The code compiles. The people behind it lost the plot. #cognitiveDebt #theoryBuilding #AIcoding #softwareEngineering

developers should at a minimum be in the loop at every step to see what AI is generating and ask for walkthroughs. At least be a peer reviewer of your own code.

Yes, I love the analogy! 🤓 As we refactor to solve Technical Debt, we should do learn and practise to solve for Cognitive Debt. ♻️🧠📈 For starters, read the whole damn conversation you had with your AI to solve your challenge and take it from there. 😅

cognitive debt is the very thing lots of my recent discussions focused on: many senior experts from different fields, who use the technology themselves daily, report this issue. and all report brain fry as well. so, sustainable process integration is still not on the horizon. especially since some start to do their own handwritten notebook on the side to not get lost. * brain fry concept: https://lnkd.in/eVURuFdG

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

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

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

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

Exploring the evolving landscape of developer tools, this clip delves into a comparison between Cursor and Claude Code's CLI functionalities. A key point of discussion is how Cursor might emerge as a significant competitor to Copilot, driven by a fundamental paradigm shift in how we interact with code. The conversation extends to the broader implications of the emerging agentic era for developers, suggesting a future where AI agents play an increasingly integral role in the software development lifecycle. This shift promises to redefine productivity and innovation in the field. For more cutting edge insights from the leading builders, investors, and leaders in AI, join the Chocolate Milk Cult, the worlds best Open Source AI Research Community. #DeveloperTools #AICoding #SoftwareDevelopment #TechInnovation #AgenticAI