Articles from Source: The-New-Stack

What running Kubernetes across millions of clusters taught AWS about zone failures

2026-07-10 15:00
AWS has learned valuable lessons about zone failures while managing Kubernetes across millions of clusters. They emphasize that not all failures are obvious; some zones may slow down, causing issues without disappearing completely. This often leads to cascading problems when automated systems react inappropriately during these gray areas. To combat this, AWS has built zonal resiliency into Amazon EKS, focusing on static stability—preserving capacity and routing around bad zones during...
Source: The New Stack
Raghav Tripathi

Anthropic wants you to use AI to decide whether or not you should use AI.

2026-07-10 14:14
📢 Anthropic has launched a beta feature called "Reflection" that allows users to track and review their interactions with Claude. This feature aims to help users think critically about their AI usage. However, some engineering leaders express skepticism over its effectiveness in providing meaningful insights. Critics like Sergey Matikaynen and Anish Agarwal emphasize the need for deeper analysis that connects AI usage to real outcomes, rather than just usage patterns. #AI #Anthropic #Claude...
Source: The New Stack
Meredith Shubel

OpenAI, Microsoft & Anthropic agree on who runs the agent. They disagree on what you can take back.

2026-07-10 14:11
OpenAI recently launched ChatGPT Work, targeting Pro, Enterprise, and Edu users with new capabilities powered by GPT-5.6. It can manage local files and edit documents in Google Workspace and Microsoft 365. 📄✨ The article discusses how OpenAI's offering compares to Anthropic’s Claude Cowork and other agents from leading labs like Microsoft, Amazon, and Perplexity. It highlights four user archetypes: knowledge workers, power users, developers, and enterprises, focusing on their control and...
Source: The New Stack
Janakiram MSV

“Every IC engineer is really a front line manager now.” But are they productive?

2026-07-10 12:00
AI is reshaping the role of software engineers, transforming them into front-line managers, according to Cameron Etezadi of LaunchDarkly. 👨‍💻 He suggests that the skills of effective engineers now align more with project management and cross-team coordination. Gartner predicts a shift towards smaller engineering teams in the near future. 📉 However, productivity remains a concern. Daniel Wang from Citizen Health emphasizes that producing more code doesn't necessarily equate to better outcomes....
Source: The New Stack
Meredith Shubel

Why zero vulnerability code packages could still be your biggest software supply chain risk

2026-07-10 11:00
Software supply chain security threats remain a significant concern for developers. 🛡️ Recent collaborations, like that of RapidFort and ReversingLabs, aim to enhance security through curated Open Source Dependency Libraries. This initiative focuses on providing tools for validation and hardening. 🔍 Mike Wood from RapidFort emphasizes the importance of understanding that packages with zero vulnerabilities can still pose risks. Developers are urged to consider dependencies critically. ⚠️...
Source: The New Stack
Adrian Bridgwater

Meta debuts Muse Spark 1.1 and it isn’t free

2026-07-09 22:22
🚀 Meta has launched Muse Spark 1.1, a significant update to its AI platform, just three months after its initial release. This move highlights CEO Mark Zuckerberg's aim to compete with OpenAI and Anthropic. Wang describes this model as the lab's best for agentic and coding tasks. Unlike its predecessor, Muse Spark 1.1 features a public developer portal, though distribution remains exclusive to Meta's servers. In a shift towards monetization, Muse Spark 1.1 introduces a paid developer tier,...
Source: The New Stack
Amanda Caswell

OpenAI is folding Codex into the ChatGPT app — and taking aim at Claude Cowork

2026-07-09 18:55
OpenAI recently announced the integration of Codex into the ChatGPT app, launching ChatGPT Work aimed at knowledge workers. This new feature will compete with Claude Cowork. ChatGPT Work will enable users to manage complex projects across web, mobile, and desktop platforms. It utilizes Codex technology for tasks beyond coding and connects with various third-party services. The merging of the ChatGPT and Codex apps aims to streamline user experience, focusing on productivity in a single app....
Source: The New Stack
Frederic Lardinois

OpenAI’s GPT-5.6 is now live

2026-07-09 18:16
🚀 OpenAI has officially launched its GPT-5.6 models! Users globally can now access three versions: 🌟 **Sol** – the flagship model, designed to compete with Anthropic's Fable 5. 🔄 **Terra** – the mainstream option for general use. 💸 **Luna** – a faster, budget-friendly choice. Pricing varies: Sol at $5/$30, Terra at $2.50/$15, and Luna at $1/$6 per million tokens. Pro and Enterprise users can utilize Sol Pro for complex tasks. These models show competitive performance, particularly Sol, which...
Source: The New Stack
Frederic Lardinois

Enterprise AI benchmarks are broken

2026-07-09 17:51
Enterprise software vendors often claim their AI agents are production-ready, but measuring this readiness is unclear. 🤔 DevRev has introduced the Enterprise AI Agent Benchmark, an open test that evaluates AI systems based on real employee tasks. This benchmark is built on Terminal Bench and aims to address the limitations of existing benchmarks. 📊 Currently, it covers the L1 and L2 tiers, with hopes for community input to develop more advanced levels. The initiative stems from frustrations...
Source: The New Stack
Frederic Lardinois

Jensen Huang says traditional coding is dead. Here’s what comes next.

2026-07-09 17:43
🚀 Traditional coding is evolving! Nvidia's CEO Jensen Huang highlights a shift from manual coding to AI-assisted programming. Developers are moving towards building agentic systems rather than focusing on repetitive tasks. This change aims to enhance creativity and productivity in software engineering. Huang emphasizes that AI is not replacing jobs, but reshaping them. #AI #SoftwareDevelopment #Nvidia #TechTrends #Innovation
Source: The New Stack
Amanda Caswell

Why a five-minute sniff test is your secret supply chain defense

2026-07-09 16:00
🔍 The Cybersecurity and Infrastructure Security Agency (CISA) emphasizes the importance of Software Bill of Materials (SBOMs) in their updated 2025 guidance. An effective SBOM must include all software components, including transitive dependencies, configuration files, and fork lineage. 🛡️ A "sniff test" for hardened images is crucial for ensuring transparency and security. This simple method can help teams verify the integrity of their software components. Continuous monitoring and...
Source: The New Stack
Christian Dupuis

Develop like you deploy: closing the Kubernetes local-to-cluster gap

2026-07-09 15:00
Developers continue to face challenges in deploying applications smoothly, despite advancements in platform engineering. Many enterprises rely on various tools across teams, leading to inefficiencies in observability, compliance, and deployment processes. Colin Griffin, CEO of Krumware, highlights that a unified approach to Kubernetes is essential for bridging the gap between development and infrastructure. Krumware's Epinio offers a solution by standardizing application development in...
Source: The New Stack
Katie Tincello

Agentic AI in observability: accelerating root cause analysis

2026-07-09 13:00
🚀 The rise of agentic AI is transforming IT operations and observability in enterprises. It enhances traditional monitoring tools by accelerating data analysis from system logs and observability metrics. This integration allows engineers to conduct deeper root cause investigations more quickly and efficiently. Thaddeus Walsh from Elastic emphasizes that agentic data acts as an accelerator, freeing up time for critical analysis. Understanding your data and processes is essential for leveraging...
Source: The New Stack
TNS Staff

The “silent hallucination” loop: how our autonomous data pipeline poisoned its own vector store

2026-07-09 13:00
🚨 In a recent article, the author discusses challenges faced with an AI system for a fintech client. Initially, the system worked well, extracting data from PDFs. However, it soon generated inaccurate chatbot responses, citing outdated financial data and incorrect revenue attribution. The root cause was a faulty data ingestion process that mismanaged probabilistic outputs, leading to "hallucinations" in the database. Despite implementing a validation layer, issues persisted due to reliance on...
Source: The New Stack
Emmanuel Akita

“The Switzerland of AI”: OpenClaw becomes a non-profit foundation

2026-07-09 12:44
🚀 OpenClaw has evolved into a non-profit foundation, marking a significant milestone in the open-source AI landscape. The initiative aims to empower users by allowing them to run AI agents locally on their machines, enhancing personal automation across various applications like WhatsApp and Slack. Chaired by Dave Morin, the foundation seeks to prioritize user control over AI, distancing it from corporate interests. For more insights, check out the full article! #OpenClaw #AI #OpenSource...
Source: The New Stack
Paul Sawers

“Opus-class, but faster”: What Elon Musk says about beating Anthropic

2026-07-08 18:59
🚀 Exciting news from SpaceXAI CEO Elon Musk! Grok 4.5 will be publicly launched tomorrow. This new model is described as "Opus-class," but faster and more cost-effective. It benefits from a powerful 1.5-trillion-parameter engine and specialized training data from the Cursor platform. Musk aims to compete with Anthropic's Claude Opus amidst recent challenges faced by its Fable 5 model. Stay tuned for more updates! #Grok45 #AI #ElonMusk #SpaceX #TechNews
Source: The New Stack
Amanda Caswell

JetBrains’ next move isn’t a better IDE — it’s a governance layer over Claude Code, Codex, and Gemini CLI

2026-07-08 17:44
🚀 JetBrains is enhancing its offerings with a new governance layer for AI tools used by engineering teams. This layer, called JetBrains AI for Teams and Organizations, will integrate with existing tools like Claude Code, Codex, and Gemini CLI, without requiring teams to switch vendors. The rollout will begin gradually in July and August, aiming to provide shared context, process reuse, and cost controls across tools. For more insights, read the full article. #JetBrains #AI #Engineering...
Source: The New Stack
Paul Sawers

Meta says it caught OpenAI. One thing is missing.

2026-07-08 17:34
🚀 Meta's AI developments are in the spotlight as Alexandr Wang claims their model, "Watermelon," has matched OpenAI's GPT-5.5 on key benchmarks. However, details are sparse, and no specific benchmarks were provided for verification. This leaves the claim unsubstantiated. With recent layoffs affecting morale, the timing of these announcements raises questions. #Meta #AI #OpenAI #TechNews #Innovation
Source: The New Stack
Janakiram MSV

OpenAI’s own safety card says GPT-5.6 has a lying problem

2026-07-08 17:08
🚀 OpenAI has announced the public launch of GPT-5.6 Sol, Terra, and Luna this Thursday. This rollout follows a period of limited access to select partners. 🔍 The models aim to cater to different needs: Sol is for reasoning, Terra focuses on daily workloads, and Luna is designed for high-volume, low-cost inference. 💰 Terra stands out for its cost-effectiveness, offering performance similar to GPT-5.5 at reduced prices. This has generated positive discussions among developers regarding economic...
Source: The New Stack
Amanda Caswell

Most enterprises will hand root cause analysis to AI agents within two years

2026-07-08 14:00
In the next two years, many enterprises plan to shift root cause analysis to AI agents. This change aims to enhance efficiency in managing complex IT systems. Currently, software engineers spend significant time analyzing logs and data to identify issues. However, this process is becoming increasingly burdensome. With the rise of generative AI (GenAI), 85% of organizations now utilize it for observability, with expectations for that number to reach 98% soon. GenAI allows for autonomous...
Source: The New Stack
TNS Staff

“Nature is the most computationally efficient system we know”: How Refiant used swarm optimization to build a 10-million-token AI model

2026-07-08 13:00
Refiant has launched its 10-million-token AI model, Protea, using swarm optimization inspired by nature. 🌿 This approach mimics how ant colonies and other creatures efficiently solve problems, aiming to enhance AI's computational efficiency. Co-founder Dr. Viroshan Naicker emphasizes the need for more than just larger context windows, as many models struggle with memory limitations. The use of nature-inspired algorithms could lead to breakthroughs in AI inference and reduce common issues like...
Source: The New Stack
Adrian Bridgwater

Entire is building a Git network for agents

2026-07-08 13:00
🚀 Thomas Dohmke, former GitHub CEO, is launching a distributed Git network with his startup, Entire. This aims to manage AI coding agents more efficiently and reduce strain on central servers. Entire's system allows developers to mirror GitHub repositories easily, enhancing performance and minimizing rate limits. The focus is on creating a decentralized network for faster operations. Currently in the U.S., EU, and Australia, Entire plans to expand further. They have developed a new backend...
Source: The New Stack
Frederic Lardinois

Coinbase runs 1,200 agents and just slashed its AI bill in half

2026-07-07 20:55
Coinbase CEO Brian Armstrong and Vercel CEO Guillermo Rauch are shifting away from single AI providers. Both leaders are designing systems to utilize multiple models, capitalizing on improved open-weight alternatives and cost efficiency. Armstrong noted that Coinbase halved its AI expenses while usage grew, thanks to strategies like defaulting to lower-cost models and task-based routing. Rauch emphasized the obsolescence of single-lab partnerships, highlighting a trend towards more flexible,...
Source: The New Stack
Amanda Caswell

Watch AWS engineers troubleshoot agentic AI with OpenTelemetry and OpenSearch

2026-07-07 20:29
🚀 AWS engineers tackle the challenge of agentic AI troubleshooting using OpenTelemetry and OpenSearch. As organizations seek better insights into system performance, traditional telemetry methods struggle with AI's complexity. OpenTelemetry offers a unified context, while OpenSearch serves as a key retrieval tool for AI agents. 💡 Join the live webinar on July 22 to watch a troubleshooting simulation and learn about the Agent Health framework, which helps ensure reliable agent behavior before...
Source: The New Stack
Jennifer Riggins

Vercel acquires Better Auth to give AI agents their own identity

2026-07-07 20:13
🚀 Vercel has acquired Better Auth to enhance AI agent identity. AI agents perform tasks like code reviews and deployments but currently share the same identity as users. This acquisition aims to address that issue. Better Auth is known for its TypeScript authentication framework, which has millions of downloads weekly. The team will focus on developing Agent Auth, giving AI agents distinct identities with specific permissions. This move reflects a broader trend in the tech industry toward...
Source: The New Stack
Paul Sawers

Anthropic gives Claude subscribers five more days with Fable 5

2026-07-07 18:45
📢 Anthropic has extended access to its Fable model for Claude subscribers until July 12. Originally set to transition to a pay-per-token model today, users now have five extra days to utilize Fable. This extension allows subscribers to maximize their usage, especially for ongoing projects. Fable was initially available from June 9 to June 22 but faced interruptions. Now, users can enjoy the model without additional costs until the new deadline. #Anthropic #Claude #Fable5 #AI #TechNews
Source: The New Stack
Frederic Lardinois

Anthropic’s Claude Cowork now keeps working when you close your laptop

2026-07-07 16:00
🚀 Anthropic has updated Claude Cowork to now operate on web and mobile, allowing it to run tasks even when your laptop is closed. This means better flexibility for knowledge workers. 📱 Subscribers to the Max plans have early beta access, with broader availability expected soon. 🔗 The update integrates Claude Chat and Cowork into a single interface, simplifying task delegation for users. 💡 This change aims to encourage more experimentation with Cowork for automating workflows. #Anthropic...
Source: The New Stack
Frederic Lardinois

The organizational iceberg: the invisible data breaking your AI agents

2026-07-07 14:00
When building data platforms for large organizations, key decisions often overlook "invisible data." This includes exceptions, undocumented knowledge, and context crucial for operations but rarely recorded. A recent audit revealed that many datasets were orphaned or redundant, leading to inconsistent decision-making. AI agents, while effective in processing data, struggle with understanding the reasoning behind decisions. Understanding this gap is vital, as traditional systems often lose...
Source: The New Stack
Nitin Singhal

How to kill the code review

2026-07-07 13:00
Traditional code review faces challenges in an AI-driven software development lifecycle. As AI tools accelerate coding, the effectiveness of code reviews is diminishing. Data shows a significant rise in code churn, incidents per pull request (PR), and review times. Notably, 31% more PRs are being merged without any review. While code review historically supported team alignment and standards-checking, these roles require different solutions. AI may assist with standards, but human input...
Source: The New Stack
Ankit Jain

A new study just debunked the biggest fear about AI and open source

2026-07-06 21:26
A recent study from Peking University challenges fears about AI's impact on open source projects. Researchers analyzed 1,888 GitHub repositories using AI coding agents and found that newcomer participation remained steady, even as code complexity increased. While cyclomatic complexity went up by 3-4% and cognitive complexity jumped 11% in Python, these changes did not deter new contributors. Interestingly, the active contributor base continued to grow. However, the study focused primarily on...
Source: The New Stack
Amanda Caswell

Microsoft, Google and Cloudflare just made 2029 the new quantum deadline

2026-07-06 20:20
🚀 Microsoft, Google, and Cloudflare have announced a significant shift in the timeline for quantum-safe technologies, moving the deadline to 2029. This change responds to government directives urging organizations to adopt post-quantum cryptography by 2030. Mark Russinovich from Microsoft emphasizes the urgent need for early action to mitigate risks associated with quantum computing advancements. The transition to quantum-safe cryptography is a multi-year effort, and planning early is crucial...
Source: The New Stack
Adrian Bridgwater

Getting Claude Code to grunt in Caveman-speak might not save as many tokens as you think

2026-07-06 18:28
Developers are increasingly focused on the costs of AI coding tools. GitHub's Copilot now uses usage-based billing, while some startups report significant savings by switching AI models. 💻💰 To reduce token consumption, many are adopting a "caveman mode" for AI responses—short and direct answers with minimal filler. This approach aims to cut costs and improve efficiency. 🔍💡 For instance, Elastic's tool achieved a 63.6% reduction in tokens used, highlighting the financial impact of unnecessary...
Source: The New Stack
Paul Sawers

Why most AI projects fail: It’s infrastructure and people

2026-07-06 18:19
🚀 AI projects often struggle to deliver business results, with studies showing a high failure rate—95% according to MIT NANDA. The main issues? Inadequate data infrastructure and a lack of personnel to manage production applications. Prototyping environments typically don’t meet the needs of large enterprises, especially in regulated industries. Flexibility and security are crucial for moving from prototype to production. Organizations must ensure their data management aligns with production...
Source: The New Stack
Meredith Shubel

Palantir’s Alex Karp and Mistral’s Arthur Mensch agree: AI lock-in is coming for enterprises

2026-07-06 17:17
🚀 Palantir CEO Alex Karp recently discussed a partnership with Nvidia on CNBC, emphasizing concerns about the AI model industry. He criticized companies like OpenAI for overcharging and exploiting proprietary data. 📈 Similarly, Mistral CEO Arthur Mensch spoke on LinkedIn about the risks of closed AI providers gaining power over enterprises. Both leaders advocate for open-weight models and proprietary systems to counteract this trend. Their insights highlight the growing concern of AI lock-in...
Source: The New Stack
Amanda Caswell

Andrej Karpathy, Google and Garry Tan agree Markdown is the answer, but they’re not solving the same problem

2026-07-06 15:13
Andrej Karpathy's "LLM Wiki" aims to build personal knowledge bases using Markdown files for AI agents. 📚 Google has introduced the Open Knowledge Format to standardize organizational knowledge in Markdown, while Garry Tan's gstack provides a unique setup for engineering teams, also utilizing Markdown. 🔧 Each approach addresses different needs but highlights the growing importance of Markdown as a resource for AI. The focus is shifting from AI models to the knowledge captured in Markdown...
Source: The New Stack
Janakiram MSV

The code review bug hunt is dead. Here’s what developers get wrong.

2026-07-06 12:00
The code review process is essential for quality assurance in software development. It aims to catch bugs early and promote mentorship among developers. However, many companies fail to define clear outcomes for these reviews. Mark Dominus emphasizes that code reviews should focus on maintainability rather than solely bug detection. He warns against relying on reviews to find bugs, as this can lead to misunderstandings and frustrations. Dominus suggests that project leaders should guide the...
Source: The New Stack
Adrian Bridgwater

Microsoft, AWS and Anthropic are spending billions — and not on better models

2026-07-05 15:00
📢 Microsoft has announced the formation of the Microsoft Frontier Company, aimed at embedding 6,000 experts within customer organizations to enhance AI deployment. This initiative is backed by a $2.5 billion investment. AWS also recently committed $1 billion to a similar engineering organization, indicating a shift in the AI industry towards engineering resources rather than just model development. Microsoft's Frontier Transformation will focus on industry expertise and enterprise AI...
Source: The New Stack
Janakiram MSV

10 moments that defined AI’s turbulent first half of 2026

2026-07-05 14:00
🚀 AI continues to dominate headlines in 2026, showcasing significant developments. The U.S. Commerce Department recently ordered Anthropic to take down its models but lifted the ban shortly after. The Pentagon also clashed with the company over military access to its AI models. Notably, AI firms like Anthropic and OpenAI are eyeing IPOs worth over $800 billion, pushing for infrastructure enhancements amid rapid model releases. Key moments include President Trump's executive order for AI...
Source: The New Stack
Darryl K. Taft

The AI revolution will not be televised — it’ll be quantized

2026-07-05 13:00
The AI revolution is being driven by quantization, a process that compresses AI model weights for efficiency and affordability. In China, the commitment to open weights allows developers to customize and run models like Qwen and DeepSeek locally, enhancing their control over AI capabilities. These models serve as valuable tools in software development, aiding in tasks such as test generation and debugging, though they still require human oversight. #AIRevolution #Quantization...
Source: The New Stack
Adrian Bridgwater

Why cheaper models alone won’t save your AI budget

2026-07-04 12:02
AI budget management is evolving as token consumption rises. 🤖 Engineers face challenges with high token usage per agent operation, leading to increasing costs. For instance, a simple task can consume up to 200,000 tokens when using multiple agents. To address this, teams are focusing on reducing unnecessary token transfers and optimizing workflows. Strategies include compressing context and routing tasks to more cost-effective models. Learn more about these solutions! 💡 #AIBudget...
Source: The New Stack
Amanda Caswell