We gave agents autonomy but no accountability — so what's next? ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­    ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­  
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The New Stack
Weekly Update  |  Issue 523
Together with
Finout1

OpenClaw used Gavriel Cohen's code and exposed the AI Agent accountability problem

Gavriel Cohen, the developer behind the minimalist agent NanoClaw, found his own code inside OpenClaw, used without attribution and without his consent. He walked away from the project publicly, and David Eastman’s story for The New Stack was the most-read story across our publications this week by a wide margin. 

 

Here’s what I see: We gave coding agents autonomy before building the accountability that’s supposed to come with it. And autonomy isn’t in the future. It’s here, now. Anthropic’s recursive self-improvement report, published on Thursday, says Claude now writes more than 80% of the code the company merges. Last week I argued the tokenmaxxing era could be ending and token discipline was the new skill. The cost side is at least getting tools: Paul Sawers reports Cursor cut prices and added enterprise spend controls the same week GitHub’s switch to token billing sent some users’ bills to the moon. 

 

Tokens are getting spend controls. But trust isn’t built like a product feature, and users are starting to take theirs back.

 

Read the full story here →

 

— Matt Burns, Chief Content Officer


Together with Finout

Finout AI Agents

Finout's new AI agents: your FinOps team just got 10X bigger

Your platform wasn't built for AI. Finout is.

Get FinOps agents that detect, investigate, and act automatically, from Claude Opus token optimization to EC2 push-to-PR, with the guardrails your team actually controls.

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TNS essential reads

Replit shows how vibe coding is getting its own financial stack — and a path to profit
Replit adds a Shopify integration to its monetization stack, letting vibe coders launch a custom storefront in about ten minutes from the AI agent.

Cloudflare acqui-hires VoidZero: Did a piece of the open web just stabilize, or become more brittle?
Cloudflare acquires VoidZero in an acqui-hire, bringing Vite and Rust-based tools in-house. Developers react with mixed feelings as open-source promises are made.

Cursor cuts prices and adds enterprise spend controls amid "tokenomics" reckoning
Two small updates from Cursor speak to a problem that's anything but small: the AI token bill is growing, and nobody has the tools to manage it yet.

"A successful attack could be catastrophic”: Anthropic gives more groups access to Claude Mythos
Anthropic expands Project Glasswing, adding 150 partners across 15 countries to use Claude Mythos Preview AI to detect critical software vulnerabilities at scale.

Can your operations handle your security ambitions?

Discover why operational maturity is the foundation of security. Scale your program effectively without creating bottlenecks in your stack.

Why your AI agent doesn’t actually remember anything

Beyond persistence: Find out why AI agents need selection, decay, and contamination handling to truly remember and function in production.

“The AI did it” won’t save you when EU regulators come knocking

The EU Cyber Resilience Act is coming. Learn how the CRA impacts AI-generated code and how to prepare your development lifecycle today.


TNS Makers

Fivetran’s CPO: Closed data stacks won’t survive the agent era

An AI agent let loose on a data warehouse can run ten or a hundred times more queries than a human-era analytics workflow ever did. The problem for any closed data ecosystem is that those queries tend to route through the same expensive compute path. In this episode, Anjan Kundavaram, Chief Product Officer at Fivetran, says, “It’s kind of like using a Lamborghini to mow the lawn all the time.” Tune in to learn more.

Catch the episode

Featured events & webinars

June 23
Virtual
From Silos to Governance: Securing IT/OT Data Movement
Find out how organizations managing critical infrastructure are replacing one-off file transfers with governed, resilient data movement at scale. Join us live on June 23 to see where IT/OT integration security actually breaks down in practice — and what a modern architecture does differently.
Save your spot →
June 24
Virtual
The Kubernetes rightsizing trust gap: Why the stakes just got higher
AI workloads have made the Kubernetes rightsizing trust gap expensive. Join us on June 24 to see how teams move from human-approved every change to continuous closed-loop optimization — in practice.
Register today →
June 30
Virtual
Operationalizing AI in Observability: From Debugging to Automated Remediation
Engineering teams have more data than ever, but humans are still the bottleneck, manually stitching together logs and traces to find answers. Join us live on June 30 for a practical look at how Datadog’s Bits AI moves teams from manual investigation to autonomous remediation.
Sign up here →
Sep 15-17
Santa Clara, CA
AI Infra Summit
The AI Infra Summit is the premier event for engineers, architects, and AI/ML practitioners focused on full-stack AI infrastructure. Join 8,000+ attendees to explore cutting-edge hardware, systems, and AI data center innovations. Connect with the people shaping the future of AI infrastructure, gain actionable technical insights, and get early access to market-leading announcements from AWS, Google, Meta, Microsoft and more. Expo tickets are free, but TNS readers get 15% off full-access with code: THENEWSTACK15
Register today →

From our sister site, roadmap.sh

Network Engineer Roadmap

Networking fundamentals, finally mapped out

Most developers skip networking. roadmap.sh just made it easier to fill that gap with a structured path from basic terminology to protocols, the OSI model, and network devices.

  • A clear progression from networking fundamentals to advanced concepts.

  • Covers protocols, the OSI model, and network devices in a logical sequence.

  • Built for developers who want to stop treating networking as a blind spot.

Explore the roadmap

TNS quote of the week

"Databases pose the hardest and most important challenge for agents, due to their unforgiving correctness and performance requirements."

— Andy Pavlo, Associate Professor of Computer Science at Carnegie Mellon University. Read more →

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