The backlash was inevitable. For the past year, Silicon Valley has been telling us that software development is on the verge of becoming a prompt-and-ship exercise. You know, just describe what you want and let an AI coding agent build it. Sure, maybe you could keep a few token senior engineers around to bless the output…or maybe not. I mean, Google’s Sundar Pichai says 75% of its new code is now AI-generated and reviewed by engineers, up sharply from earlier levels.
Hurray! Right??? Well…
The Wall Street Journal recently highlighted warnings from Mario Zechner and Armin Ronacher, two engineers behind core pieces of the popular OpenClaw AI agent, who argue that AI coding tools are flooding software with what they call “vibe slop.” Their complaint is that too many people are using AI to skip the parts of software development that actually matter: design, judgment, testing, ownership, and deep understanding of the system being changed.
This is worth taking seriously. When people who help
Google has introduced Agent Executor, an open source runtime aimed at helping enterprises run AI agents more reliably at scale, as attention shifts from building agent prototypes to managing the operational challenges of putting them into production.
To address those production-related challenges, the runtime, according to the company, comes with capabilities that are geared towards supporting long-running and distributed agent workflows.
Typically, long-running agent workflows are AI-driven tasks that execute over extended periods, from minutes to days, often involving multiple steps, system interactions, pauses for human input, or recovery from interruptions before reaching completion.
For such workloads, the runtime includes support for durable execution, allowing workflows to resume after outages or human approvals, along with secure sandboxing for isolating agent components, session consistency controls for distributed workflows, and connection recovery features intended to preser
The backlash was inevitable. For the past year, Silicon Valley has been telling us that software development is on the verge of becoming a prompt-and-ship exercise. You know, just describe what you want and let an AI coding agent build it. Sure, maybe you could keep a few token senior engineers around to bless the output…or maybe not. I mean, Google’s Sundar Pichai says 75% of its new code is now AI-generated and reviewed by engineers, up sharply from earlier levels.
Hurray! Right??? Well…
The Wall Street Journal recently highlighted warnings from Mario Zechner and Armin Ronacher, two engineers behind core pieces of the popular OpenClaw AI agent, who argue that AI coding tools are flooding software with what they call “vibe slop.” Their complaint is that too many people are using AI to skip the parts of software development that actually matter: design, judgment, testing, ownership, and deep understanding of the system being changed.
This is worth taking seriously. When people who help
Google didn’t just ship an update at I/O 2026. They redrew the map. Google Antigravity 2.0 dropped on May 19th and it’s not an IDE refresh. It’s a full platform pivot from AI assisted coding, to multi agent orchestration as the core development model. If you’ve been keeping an eye on the Agentic coding race […]
The post Google Antigravity 2.0: The Full Developer Guide (I/O 2026) appeared first on Analytics Vidhya.
A new piece in The New York confirms that AI-generated writing -- and similar AI creation tools -- is now the 'it' app.
The post Google Releases Slew of New AI Tools appeared first on Robot Writers AI.
Insider Brief Kawasaki Heavy Industries has launched a development hub in San Jose, Calif., “for the social deployment of physical AI” while expanding collaboration in AI and semicondictors between Japanese and U.S. technology firms. The facility will initially focus on healthcare and elder care applications before expanding into sectors including semiconductors, mobility and manufacturing, according […]
