The LGTM (Page 21)

The LGTM

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Codex 0.142 Alpha Turns Multi-Agent Mode Into Runtime State

Codex 0.142 Alpha Turns Multi-Agent Mode Into Runtime State

OpenAI’s latest Codex alpha is not trying to win a demo. It is doing something less glamorous and more important: turning “multi-agent coding” from a product slogan into runtime state that can be identified, resumed, authorized, and audited. Codex 0.142.0-alpha.4 landed on June 19 with a

Claude Code 2.1.183 Turns Auto Mode Safety From Advice Into a Hard Stop

Claude Code 2.1.183 Turns Auto Mode Safety From Advice Into a Hard Stop

Claude Code 2.1.183 is not a feature release pretending to be exciting. It is a brakes release pretending to be maintenance. That matters more. Anthropic shipped Claude Code v2.1.183 on June 19 with the kind of changelog line that should make every team running coding agents

Cannes Lions Shows NVIDIA Turning Marketing AI Into a Systems Problem

Cannes Lions Shows NVIDIA Turning Marketing AI Into a Systems Problem

Cannes Lions is not where engineers usually go looking for serious systems architecture. That is fair. The conference packaging is glossy enough to make any infrastructure person reach for the mute button. But NVIDIA’s advertising and marketing AI roundup is more interesting than the setting suggests because adtech has

NVIDIA’s FERC Post Is a Reminder That AI Factories Now Have a Power-Queue Roadmap

NVIDIA’s FERC Post Is a Reminder That AI Factories Now Have a Power-Queue Roadmap

The newest bottleneck in AI infrastructure is not a GPU, a compiler flag or a clever quantization recipe. It is a queue. Specifically: the interconnection queue between giant new AI loads and an electrical grid that was not designed to treat gigawatt-class compute campuses as a normal Tuesday. NVIDIA’s

Coherent’s Texas Expansion Is the Unsexy Part of AI Scaling That Actually Decides the Rack

Coherent’s Texas Expansion Is the Unsexy Part of AI Scaling That Actually Decides the Rack

AI infrastructure usually gets sold as a GPU story because GPUs are the expensive thing everyone can point at. Coherent’s Sherman, Texas expansion is a useful correction: at rack scale, the expensive thing is increasingly the stuff that lets the GPUs behave like one machine instead of thousands of

Microsoft's Agent-Skill Advice Is Brutal and Correct: Stop Shipping Textbooks to the Context Window

Microsoft's Agent-Skill Advice Is Brutal and Correct: Stop Shipping Textbooks to the Context Window

Microsoft’s best agent advice this week is not a new model, a bigger context window, or another “autonomous” demo that quietly assumes the happy path. It is Waldek Mastykarz telling developers to stop overloading agent skills. Brutal, correct, and apparently still necessary: most teams do not need to ship

Copilot Code Review Reads AGENTS.md Now. Good: Review Policy Belongs in the Repo, Not in Someone's Head

Copilot Code Review Reads AGENTS.md Now. Good: Review Policy Belongs in the Repo, Not in Someone's Head

GitHub Copilot code review learning to read AGENTS.md is not the flashiest AI announcement of the week. Good. The useful agent features rarely are. This one matters because it moves AI review away from generic “looks plausible” commentary and toward something software teams have needed from the start: repo-local

Grok on Databricks Is xAI’s Enterprise Distribution Move, Not Just Another Model Listing

Grok on Databricks Is xAI’s Enterprise Distribution Move, Not Just Another Model Listing

xAI getting Grok onto Databricks Agent Bricks is not interesting because another model showed up in another enterprise dropdown. The industry has enough dropdowns. It is interesting because the center of gravity for enterprise AI is moving away from raw model APIs and toward governed routing layers: places where data,