iFeeling Daily
Daily curated AI insights you can't miss.
Agent Factory Recap: 100X Engineering with AI Agents in Google Antigravity 2.0
Rody Davis argues that poor codebase health, not context windows, is the biggest bottleneck to AI speed, and that vibe coding will create a new consulting market for engineers who fix production failures. His practical approach revolves around Skills as context cheat sheets and treating codebases like Bonsai trees with strict architectural discipline.
Benchmarking open models on agentic tooling with transformers
This article challenges the common practice of only checking final answers in agent benchmarks. Using transformers as a case study, it introduces a harness that measures agent effort across turns, tokens, and errors, and reveals that a CLI + Skill improvement helps large models but breaks smaller ones—a finding that would have shipped unseen with standard evaluation.
Why Self-Driving Labs Are the Real Bottleneck in AI for Science
Joseph Krause makes a compelling case that the bottleneck in materials science isn't ideas — it's experiments. His self-driving lab has produced 1,200 alloys in six months, nearly 10x the pace of the best prior DARPA program, and the key insight is that the moat is the lab and the data, not the model.
Build and Deploy a Remote MCP Server to GKE in 30 Minutes
This guide walks through deploying a remote MCP server on GKE Autopilot using Streamable HTTP, FastMCP, and the Kubernetes Gateway API with SSL. It's a practical pattern for teams needing centralized, scalable context servers for AI agents.
From Hugging Face Hub to Robot Hardware with Strands Agents and LeRobot
Strands Robots unifies the LeRobot stack into a single agent loop, letting you record, simulate, train, and deploy on hardware with no format conversion. The dataset format stays the same from MuJoCo to physical SO-101, making sim-to-real seamless.
GLM-5.2: Open 1M-Context Model for Long-Horizon Agent Tasks
GLM-5.2 is the first open-source model to make 1M-context genuinely usable for long-horizon coding agents, trailing only Opus 4.8 on FrontierSWE and Terminal-Bench 2.1 while beating GPT-5.5 and Gemini 3.1 Pro. Its IndexShare architecture cuts per-token FLOPs by 2.9× at 1M context, and the anti-hack RL training stops reward hacking without crashing rollouts.
UK’s shift from AI potential to agentic enterprise production
This article tracks the UK's shift from AI experimentation to agentic enterprise production, anchored by Google Cloud's partnerships with HSBC, Ineffable Intelligence (record $1.1B seed), and public sector tools reducing document processing from two hours to two minutes. For builders, the key insight is that agentic systems require the full integrated stack—silicon, models, and infrastructure—not just frontier models.
Google Named Leader in 2026 IDC MarketScape SIEM Assessment
Google was named a Leader in the 2026 IDC MarketScape for Worldwide SIEM, highlighting its vertical AI integration from silicon to Gemini models. The Triage Agent and unified data lake address legacy performance issues, with a customer report of 97% reduction in alerts. Builders should evaluate how tightly AI and infrastructure are coupled.
How Siemens Modernized Legacy Code with Agentic Workflows
Siemens and Google Cloud's Knowledge Fabric shows how to tame massive industrial codebases by combining knowledge graphs, multi-agent workflows, and human oversight—turning a decade-old modernization nightmare into a manageable, scalable process.