I trust Claude Code.
Back in March, I wrote about why I pity the developers who haven’t yet jumped on the agentic coding bandwagon. I also pity the developers just starting out, who will never quite understand the power that they now have at their fingertips.
But most of all, I really pity the developers who refuse to use agentic development tools because they don’t trust AI agents.
I understand that saying I trust Claude Code is a controversial statement. I know that the coding agent isn’t perfect, that it will make mistakes, that it will “hallucinate,” and that it will not always do what you want in the way you want it done.
But you can fix that.
Start slow
But guess what? The same is true of every human developer on the planet. When you hire a new developer, especially a brand-new junior developer, they are going to make mistakes. They are going to misunderstand, and they are going to miss things that they shouldn’t.
Of course, you’ll take the time to teach this person, show the
AI agents start every session from zero — no memory of meetings, notes, or decisions. GBrain, the open-source memory layer Y Combinator's Garry Tan built to power his own OpenClaw and Hermes deployments, fixes that with a markdown-first knowledge graph that wires itself through regex inference, not LLM calls. This step-by-step coding tutorial walks through installing GBrain v0.38.2.0, building a brain repo, running hybrid search, and connecting it to Claude Code via MCP — about 20 minutes, all terminal output captured live.
The post A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator’s Garry Tan for AI Agents appeared first on MarkTechPost.
Alibaba’s Qwen team has unveiled Qwen3.7-Max, a flagship model built for the agent era. Unlike conventional chatbot-focused LLMs, it is designed as a foundation for autonomous AI agents that can code, debug, use tools, manage workflows, and execute long-running enterprise tasks. Alibaba claims the model can operate autonomously for up to 35 hours without performance […]
The post Qwen3.7-Max: Alibaba’s New Agent-First LLM for Coding, Reasoning, and Long-Horizon AI Workflows appeared first on Analytics Vidhya.
Google I/O 2026 showcased AI agents capable of coding, research, shopping, scheduling and content creation. Google’s biggest Search overhaul in 25 years signals how “agentic AI” could increasingly automate repetitive digital work across industries.
Foundation, the Boston-based bitcoin hardware wallet company, has closed a $6.4 million funding round led by Fulgur Ventures to expand its security platform beyond self-custody into identity, multi-factor authentication, and artificial intelligence (AI) agent authorization. Fulgur Ventures Backs Foundation $6.4M to Secure the Agentic Era With Passport Prime Arche Capital also participated in the round, […]
MemWal SDK empowers AI with decentralized, user-controlled memory, enhancing data security, interoperability, and collaborative potential.
The post Walrus launches MemWal SDK to give AI agents verifiable, portable memory appeared first on Crypto Briefing.
