iFeeling Daily
Daily curated AI insights you can't miss.
How Agentic AI (Codex) Is Transforming Work at OpenAI
OpenAI's internal data shows Codex adoption shifting from chatbots to agents, with non-developer use exploding 137x and tasks exceeding 8 hours growing fastest — a concrete look at the future of agentic work.
Databricks’ Agent Cloud: Why Open Source and LTAP Matter for AI
Databricks co-founders Matei Zaharia and Reynold Xin unpack Omnigent (an open-source meta-harness above coding and enterprise agents), LTAP (their database bet for live transactional data in column-oriented formats), and why agent security, spend controls, and a common API matter more than ever. The thesis: traditional software gets rewritten once the data is in the right place and agents sit on top.
Claude Tag: Persistent, Multiplayer AI Teammate for Slack
Anthropic launched Claude Tag, an AI teammate embedded directly in Slack that maintains shared context, works asynchronously, and takes initiative. The product moves beyond single-session AI interaction toward persistent, multiplayer collaboration, with Anthropic reporting 65% of its product team's code already created via this pattern.
Build real agentic apps using CUGA: lightweight harness, two dozen examples
CUGA (Configurable Generalist Agent) is an open-source harness from IBM that strips away the repetitive plumbing of agentic apps, letting you focus on tools and prompts. With two dozen single-file examples and built-in governance, it shows how to build agents that scale from a laptop to a governed production deployment without rewriting.
Shipping weekly releases with AI, open tools, and a human in the loop
Hugging Face cut their release effort from half a day to 15 minutes by using an open-weight AI to draft changelogs, wrapped in deterministic checks that verify every PR is included, and a human review before shipping. The full pipeline is open-source and costs about $0.25 per run.
AI Security After Codex and Claude Code: New Vulnerabilities and Guardrails
This episode from Gray Swan's cofounders explains why AI agents create a new class of security vulnerabilities that traditional cybersecurity cannot solve. Essential for engineers deploying Codex, Claude Code, or similar agents — prompt injection, automated red-teaming, and the lethal trifecta are must-understand concepts.
Codex as a persistent workspace for long-running AI workflows
A practical look at treating Codex as a persistent workspace for long-running work—breaking projects into verifiable steps, preserving context across sessions, and deciding when to delegate vs. keep human oversight. Essential reading if you're building workflows that span more than one chat.
MosaicLeaks: How Deep Research Agents Leak Private Information Through Queries
A new benchmark called MosaicLeaks reveals that deep research agents frequently leak private enterprise information through their web query logs, and training for task performance alone makes it worse. The authors propose PA-DR, a reinforcement learning method that trains agents to construct safer queries, cutting leakage by over 3x while preserving task success.
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.