Articles from Source: The-New-Stack

There’s a hidden tax on every AI-generated merge request

2026-04-02 14:00
AI coding tools may not be solving bottlenecks in software development; instead, they are shifting them to the review queue. This places added pressure on senior engineers who are now overwhelmed by increased merge request (MR) volumes. 📈 Despite the rise in AI usage, key delivery metrics have not shown improvement, highlighting that more MRs do not necessarily equate to higher productivity. Senior engineers are spending more time on reviews, which limits their ability to focus on design and...
Source: The New Stack
Brian Wald

Moving beyond the “magic scaling sauce” myth

2026-04-02 13:30
📈 Scalability isn't just a buzzword; it's crucial for long-term system reliability. The excerpt from "Designing Data-Intensive Applications" highlights that increased load can lead to performance issues, even if a system runs smoothly today. When building new products, focusing on simplicity and flexibility is key. Premature scalability investments can hinder development. Consider scalability as a multi-faceted challenge. Ask how you can adapt to growth and manage resources effectively....
Source: The New Stack
TNS Staff

Why programming became the proving ground for AI

2026-04-02 13:00
AI has found a strong foothold in software engineering due to its clear and binary environment. Code either compiles or it doesn't, providing direct feedback that aids AI development. This makes programming an ideal testing ground for AI models. 🤖💻 The evolution from simple autocomplete to understanding code intent, as seen with tools like GitHub Copilot, has transformed AI into a true coding partner. This shift highlights the integration of AI into our daily workflows. Concerns about AI...
Source: The New Stack
Sean Falconer

The hidden technical debt of agentic engineering

2026-04-02 12:00
Building an agent today is simple, requiring just a few prompts and tool definitions. However, deploying it in a production environment introduces significant complexities. As highlighted in a recent article, the infrastructure surrounding agents can lead to substantial technical debt. This includes challenges like observability and integrations, and unique needs such as human-in-the-loop systems. Understanding these factors is crucial for effective agentic engineering. #TechDebt...
Source: The New Stack
Zohar Einy

How to integrate VS Code with Ollama for local AI assistance

2026-04-01 12:00
🚀 Starting your programming journey? Consider using AI to enhance your learning experience! Ollama is a locally installed AI tool that prioritizes privacy and efficiency. It can be seamlessly integrated with Visual Studio Code (VS Code) to assist you while coding. For installation, you'll need a desktop OS (Linux, macOS, or Windows). Get started by downloading Ollama and VS Code, or use terminal commands if you're on Linux. Learn more about the setup process in the full article. #Programming...
Source: The New Stack
Jack Wallen

Inside Claude Code’s leaked source: swarms, daemons, and 44 features Anthropic kept behind flags

2026-04-01 11:23
🚨 A significant leak of Claude Code's source map has been revealed by security researcher Chaofan Shou. This 59.8MB file connects 512,000 lines of TypeScript across 1,900 files, showcasing Anthropic's recent version 2.1.88. 🌐 Following a human error, the package was pulled quickly, but it had already been widely forked on GitHub. 🔍 The leaked code highlights various features, including a Tamagotchi pet system and unique spinner verbs. 🛠️ Analysis indicates a sophisticated agent operating...
Source: The New Stack
Janakiram MSV

Edge-forward: Akamai eyes sweet spot between centralized & decentralized AI inference

2026-04-01 11:00
Akamai is positioning itself at the intersection of centralized and decentralized AI inference. Leaders Lena Hall and Thorsten Hans discussed this strategy at KubeCon + CloudNativeCon Europe 2026. Akamai, known for its CDN and cybersecurity, is expanding into AI with a focus on low-latency distributed processing. With 41 core data centers and 4,400 smaller ones worldwide, they aim to reduce latency by bringing compute closer to users. This approach supports diverse workloads, combining...
Source: The New Stack
Adrian Bridgwater

JetBrains: AI agents are about to repeat the cloud ROI crisis

2026-03-31 20:02
JetBrains has unveiled JetBrains Central, a platform aimed at managing AI coding agents in response to potential ROI crises similar to those faced during cloud adoption. Oleg Koverznev emphasized the challenge of demonstrating ROI from AI systems, as 90% of developers already use AI at work, yet only 13% utilize it throughout the software development lifecycle. With predictions of 40% of enterprise apps incorporating AI agents by 2026, effective coordination between human and AI teams is...
Source: The New Stack
Darryl K. Taft

Why Cursor is bringing self-hosted AI agents to the Fortune 500

2026-03-31 19:58
Cursor is now allowing Fortune 500 companies to run self-hosted AI coding agents within their own infrastructure. This change addresses concerns over security and compliance, enabling companies to keep their source code and build data secure. 🛡️ Self-hosted agents can access internal tools, dependencies, and networks, enhancing their effectiveness while maintaining tighter security controls. This development comes in response to user demand for more localized solutions. Cursor, founded by MIT...
Source: The New Stack
Paul Sawers

Portkey open-sources its AI gateway after processing 2 trillion tokens a day

2026-03-31 19:53
🚀 Portkey has launched its open-source Portkey Gateway, designed to manage AI model traffic and enforce policy controls. The move aligns with the growing need for open access in AI infrastructure, allowing teams to operate without multiple SaaS subscriptions. CEO Rohit Agarwal emphasizes that core technology should be accessible for all engineering teams. Portkey already processes 2 trillion tokens daily, highlighting the essential role of gateways in production AI systems. 🌐 #AI #OpenSource...
Source: The New Stack
Adrian Bridgwater

Claude Code users say they’re hitting usage limits faster than normal

2026-03-31 18:30
🚨 Claude Code users are reporting they are reaching usage limits more quickly than usual. Anthropic confirmed on Reddit that they are aware of the issue and are prioritizing a fix. Users share frustrations, with some stating that a single prompt now consumes a significant portion of their limits. One user noted that a simple greeting costs 2% of their entire session usage. While Anthropic has not identified the root cause, a user claims to have discovered potential bugs that may be inflating...
Source: The New Stack
Meredith Shubel

How to solve the AI paradox in software development with intelligent orchestration

2026-03-31 16:14
The software industry hit a crucial point in late 2025, as three AI models transformed coding practices. A quarter of Y Combinator’s Winter 2025 startups reported generating 95% of their code with AI, leading to significant productivity gains. 📈 However, the “AI Paradox” arises from fragmentation in tools and processes, limiting AI's effectiveness. Key issues include isolated AI tools, lack of unified data models, and inconsistent trust in AI outputs. Regulatory and budget considerations also...
Source: The New Stack
Manav Khurana

AI accelerates modernization, but don’t leave human devs behind

2026-03-31 16:00
AI is transforming application modernization, shifting the focus from maintaining legacy systems to leveraging advanced tools. 🛠️ With AI, teams can scan and update code efficiently, tackling technical debt effectively. However, success still relies on human expertise to ensure accuracy. AI helps simplify complex code, making modernization accessible and less daunting. Combining AI tools with skilled developers is crucial for effective outcomes. #AIModernization #TechDebt #CodeRefactoring...
Source: The New Stack
Matthew Weier O’Phinney

Ollama taps Apple’s MLX framework to make local AI models faster on Macs

2026-03-31 12:00
🚀 Ollama has released an update leveraging Apple's MLX framework to enhance local AI model performance on Macs. This update aims to improve speed and memory efficiency for developers running large language models (LLMs) directly on their machines. Additionally, support for NVIDIA’s NVFP4 format has been introduced, targeting larger models. The integration allows better responsiveness and reduced latency, making local AI setups more practical for daily development tasks. #Ollama #AppleMLX #AI...
Source: The New Stack
Paul Sawers

Kelsey Hightower at KubeCon 2026: “Everyone is a junior engineer when it comes to AI”

2026-03-30 18:45
Kelsey Hightower spoke at KubeCon 2026, emphasizing that everyone is still learning in the AI field. Kristina Kondrashevich from Electrolux shared how Hightower’s insights inspired her team to open-source their project, InfraKitchen. He challenged them during a demo, ultimately approving their work. Discussions at KubeCon centered on the role of AI in open source, highlighting the need for companies to support their dependencies and contribute to projects. #KubeCon2026 #OpenSource #AI...
Source: The New Stack
Jennifer Riggins

Sparky Linux 9 brings a rolling release to Debian

2026-03-30 15:00
🚀 Sparky Linux 9.0 has launched, introducing a rolling release model based on Debian! This update brings a variety of desktop environments, including LXQt, MATE, Xfce, KDE Plasma, and more. Users can expect a stable and resource-efficient experience. 🌟 The KDE Plasma version is designed to be minimalistic, maintaining a classic Debian look and feel. Explore the features of Sparky Linux for a fresh take on Debian-based distributions! 🖥️ #SparkyLinux #Linux #Debian #RollingRelease #TechNews
Source: The New Stack
Jack Wallen

Microsoft’s Copilot makes Anthropic’s Claude and OpenAI’s GPT team up

2026-03-30 13:00
Microsoft is enhancing its AI strategy by integrating Anthropic’s Claude and OpenAI’s GPT models in Copilot’s Researcher agent. 🌐 Now featuring a ‘critique’ option, GPT drafts content while Claude reviews for accuracy and completeness. This collaboration aims to improve research quality significantly. 📊 Additionally, a new ‘council’ feature allows users to compare responses from different models side-by-side. Microsoft’s Copilot Cowork tool is also being introduced for knowledge workers,...
Source: The New Stack
Frederic Lardinois

96% of codebases rely on open source, and AI slop is putting them at risk

2026-03-29 13:00
🚨 Open source software (OSS) is facing challenges as 96% of codebases rely on it, and a surge of low-quality AI-generated submissions is straining maintainers. Many are overwhelmed by verbose changes and nonsensical pull requests, leading some projects to close down. 🎯 Experts warn the traditional contributor model is at risk, with maintainers introducing stricter guidelines. GitHub is exploring solutions to support the community. #OpenSource #AI #SoftwareDevelopment #TechNews #OSS
Source: The New Stack
Bill Doerrfeld

WebAssembly is now outperforming containers at the edge

2026-03-29 13:00
WebAssembly (Wasm) is gaining traction as it outperforms containers at the edge. The advancement hinges on finalizing the Component Model, which will enhance its ability to deliver lightweight code with low latency across multiple endpoints. This could position Wasm as a superior choice for edge devices and serverless environments. 🌐⚡ Recent discussions at Wasm I/O highlighted the need for easier implementation and broader support in popular programming languages, aiming for a smoother...
Source: The New Stack
Nick Lucchesi

How platform teams are eliminating a $43,800 “hidden tax” on Kubernetes infrastructure

2026-03-28 20:09
Platform teams are tackling a significant challenge with Kubernetes infrastructure costs. The hidden tax of $43,800 annually arises from managing multiple control planes, with each additional cluster adding to the expense. Virtual clusters like vCluster, Kamaji, and k0smotron are emerging as solutions. They allow teams to provision multiple isolated environments without the overhead of separate control planes, maintaining both cost efficiency and necessary isolation. This shift mirrors the...
Source: The New Stack
Janakiram MSV

Nvidia’s NemoClaw has three layers of agent security. None of them solve the real problem.

2026-03-28 13:30
Nvidia's CEO Jensen Huang discussed the rapid growth of agentic computing at the GPU Technology Conference. 📈 He highlighted a staggering 10,000-fold increase in compute demand over two years. In this landscape, Nvidia's NemoClaw aims to enhance security with three layers, but it doesn't fully address the issues posed by OpenClaw. 🔒 While NemoClaw adds safety measures, it still relies on the open-source model and faces inherent inefficiencies in policy enforcement. The success of such systems...
Source: The New Stack
David Eastman

Build it yourself: A data pipeline that trains a real model

2026-03-28 13:00
🔍 Understanding data pipelines is crucial for effective AI. A data pipeline is a series of steps that collects, stores, transforms, and delivers data. It plays a vital role in training AI models, shaping their outputs, and enabling them to improve over time. The article also guides readers on building a custom data pipeline and training a model with simulated data inputs. 📊 Learn more about the essentials of data in AI! #DataPipeline #AI #MachineLearning #DataScience
Source: The New Stack
Jessica Wachtel

Solo.io launches AgentBench to solve agentic AI’s “biggest unsolved problem”

2026-03-28 13:00
🚀 Solo.io has launched AgentBench to address a key challenge in agentic AI evaluation. This new open-source initiative aims to help developers benchmark autonomous AI systems effectively. With the rise of AI agents, organizations need reliable methods to assess their performance in real-world tasks like infrastructure automation. AgentBench integrates with Solo.io's Gloo Platform, providing a standardized framework for testing AI agents before deployment. It generates detailed logs and...
Source: The New Stack
Steven J. Vaughan-Nichols

Solo.io launches agentevals to solve agentic AI’s “biggest unsolved problem”

2026-03-28 13:00
🚀 Solo.io has launched a new open-source initiative called **agentevals** to address the challenges of evaluating agentic AI systems. This project was announced at KubeCon Europe and aims to help developers benchmark AI agents effectively. With enterprises exploring AI copilots and infrastructure agents, understanding their reliability is crucial. 🛠️ Agentevals provides a framework for testing AI agents in real-world scenarios, integrating with Solo.io’s Gloo Platform and Envoy Proxy. It...
Source: The New Stack
Steven J. Vaughan-Nichols

Anthropic’s madcap March: 14+ launches, 5 outages, and an accidental Claude Mythos leak

2026-03-28 11:00
🚀 Anthropic has made headlines in March with over 14 launches and 5 outages, marking a significant period of innovation. Key updates include the release of Claude Opus 4.6, featuring enhanced token capabilities, and Claude Sonnet 4.6, which improves coding and planning tools. The Claude Marketplace also launched, allowing enterprises to use existing funds for new tools without fees. Stay tuned for more developments in AI! 🌐💡 #AI #Anthropic #Claude #Innovation #TechNews
Source: The New Stack
Matthew Burns

Gitleaks creator returns with Betterleaks, an open source secrets scanner for the agentic era

2026-03-27 18:00
🚀 The creator of Gitleaks has launched Betterleaks, a new open-source secrets scanner. This tool offers improved detection, faster scanning, and greater flexibility in managing secrets. 🔍 Secrets are crucial for software authentication, but they can be exposed when code is shared unintentionally. Betterleaks aims to mitigate this risk, especially as AI tools increase the amount of code written. 💡 Zach Rice highlights the challenge developers face when relying on AI assistants, which may lead...
Source: The New Stack
Paul Sawers

How TeamPCP turned Aqua Security’s own Trivy scanner into a weapon against millions of developers

2026-03-27 17:00
Open source security faces significant challenges following a recent wave of supply chain attacks. 🚨 The Aqua Security Trivy vulnerability scanner was compromised by hackers known as TeamPCP, who infiltrated its CI/CD pipeline. This led to trojanized binaries aimed at stealing sensitive credentials. Since the initial attack, TeamPCP has targeted numerous NPM packages and the LiteLLM Python proxy. They reportedly obtained 300 GB of credentials, raising concerns about their growing impact on...
Source: The New Stack
Steven J. Vaughan-Nichols

OpenAI’s Codex gets plugins

2026-03-27 15:20
OpenAI has announced the addition of plugins to Codex, enhancing its functionality with third-party services like Box, Figma, and Slack. These plugins streamline workflows and app integrations, making Codex more appealing to users exploring alternatives. With over 20 plugins available, they support planning and coordination tasks beyond just coding. A dedicated tab in the Codex UI simplifies access to these plugins, with plans for more to come. #OpenAI #Codex #TechUpdates #AI #Plugins
Source: The New Stack
Frederic Lardinois

GitHub will train AI models on your Copilot data — and share it with Microsoft

2026-03-27 13:37
🚨 GitHub has announced plans to use user interaction data from Copilot to train AI models, effective April 24. Users can opt out of this data sharing via account settings. This data includes inputs, outputs, and code context. Notably, Microsoft and other affiliates will have access to this information, but third-party providers will not. Copilot Business and Enterprise users are not affected by this change. #GitHub #AI #Copilot #DataPrivacy #Microsoft
Source: The New Stack
Meredith Shubel

The reason your pgvector benchmark is lying to you

2026-03-27 12:00
Understanding pgvector benchmarks is crucial for successful implementation. 🛠️ While pgvector allows for storing vector embeddings in Postgres, challenges arise when scaling beyond demo scenarios. A recent article highlights the importance of realistic benchmarking, especially when moving from 10,000 vectors to millions. Operational issues can surface at scale, impacting performance. Planning and understanding these factors can lead to better outcomes. 📈 #pgvector #Postgres #DataEngineering...
Source: The New Stack
Naina Ananthaswamy

The operational gap is real, and it’s getting wider

2026-03-26 15:00
The merger of env zero and CloudQuery highlights a significant issue in the cloud operations market: the Operational Gap. Many enterprises struggle with cloud asset visibility due to inadequate tools, leading to informal management practices. Knowing about resources isn't enough; effective governance and control are essential. This gap, which separates provisioning from ongoing management, is widening, making traditional methods unsustainable. #CloudOperations #TechMerger #OperationalGap...
Source: The New Stack
Yevgeny Pats

Enterprise dev teams are about to hit a wall. And CI pipelines can’t save them.

2026-03-26 14:00
Enterprise development teams face growing challenges as the speed of code production outpaces validation processes. ⚙️ While coding agents enhance efficiency, they struggle in complex environments with multiple microservices. The existing CI pipelines, designed for slower workflows, cannot keep up with the increased velocity of pull requests. ⏳ Forward-thinking teams are urged to shift validation earlier in the development process to address these issues. 🔄 #SoftwareDevelopment #CIPipelines...
Source: The New Stack
Anirudh Ramanathan

Edera spent years calling KVM less secure. Here’s why it changed its mind.

2026-03-25 21:22
Edera, a leading Xen hypervisor company, is set to support KVM this summer, responding to customer demand. Historically, Edera highlighted Xen's security advantages over KVM. However, they now recognize the importance of KVM for organizations with established infrastructures and tooling. Edera plans to adapt its micro-VM isolation model to KVM, ensuring existing systems can run smoothly without needing a complete overhaul. This shift signifies Edera's commitment to meeting the needs of its...
Source: The New Stack
Steven J. Vaughan-Nichols

Your Kubernetes isn’t ready for AI workloads, and drift is the reason

2026-03-25 15:43
🚀 Kubernetes environments face new challenges as businesses demand AI workloads. Traditional setups struggle with infrastructure drift, leading to unpredictable performance. 🌐 With increasing complexity, especially in regulated industries, teams must move from reactive strategies to a more stable, deterministic infrastructure. 🔧 The solution lies in adopting an API-driven, immutable OS to ensure predictability and security. Join the webinar on April 9 to learn more about scaling Kubernetes...
Source: The New Stack
TNS Staff

Fivetran donates its SQLMesh data transformation framework to the Linux Foundation

2026-03-25 14:39
🚀 Fivetran has announced the donation of its SQLMesh data transformation framework to the Linux Foundation. This open-source tool allows data teams to define, test, and deploy SQL-based transformations efficiently. Key supporters include ATOMS, Benzinga, and Infinite Lambda, among others. SQLMesh, which leverages virtual data environments, aims to enhance performance and offers a strong alternative to dbt. This move follows Fivetran's merger with dbt Labs and reflects a commitment to open-...
Source: The New Stack
Frederic Lardinois

HPE’s AI agents cut root cause analysis time in half

2026-03-25 14:14
HPE is addressing operational fatigue in IT with its new AI agents, designed to assist in root cause analysis. These agents, referred to as "copilots," are being integrated into the OpsRamp platform and aim to reduce analysis time by 50%. This shift marks the beginning of an “Agentic Era” in operations, where AI can take autonomous actions while keeping human oversight. The new application is currently in beta and is set for general release in 2026. As AI complexity grows, many enterprises...
Source: The New Stack
Jennifer Riggins

Why online stores keep showing the wrong products — and why tensors fix it

2026-03-25 13:00
🔍 Online stores often suggest products that don't match user searches, like showing women's boots for "black running shoes for winter." This issue arises from the complexity of modern product discovery systems, which analyze various signals including keyword relevance, shopper behavior, and inventory. Tensor-based ranking can improve this process by evaluating multiple signals simultaneously, allowing for a more accurate representation of product relevance. Traditional ranking methods, while...
Source: The New Stack
Tim Young

OpenClaw’s biggest security flaw is why Jentic Mini exists

2026-03-25 12:00
OpenClaw's rapid rise to fame has also exposed significant security flaws. With over 40,000 instances vulnerable online, issues like data exfiltration have surfaced. 🛡️ In response, Jentic has launched Jentic Mini, a self-hosted solution that enhances safety for developers. It centralizes credentials and offers fine-grained permissions to protect AI agents. 🔐 This initiative aims to fill the gap left by major tech companies. #CyberSecurity #AI #OpenSource #Jentic #TechInnovation
Source: The New Stack
Darryl K. Taft

Claude can now open apps, click buttons, and complete tasks on your Mac — but Anthropic says risks remain

2026-03-25 11:36
📢 Exciting update from Anthropic! Claude Code and Claude Cowork now have the ability to perform tasks on macOS desktops. Users can ask Claude to open apps, click buttons, and complete various tasks like checking emails or compiling data. This feature works through both direct integrations and traditional screen interactions. Users can also assign tasks via their phone and check the results later on their desktop. Security measures are in place, including permission requests and safeguards...
Source: The New Stack
Meredith Shubel

Why most AI projects fail after the demo actually works

2026-03-25 11:00
🚀 Building an AI demo is simple, but deploying a reliable AI system in production is challenging. Many projects fail when faced with real-world conditions. Key reasons include: - Poor separation of components - Lack of observability - Cost control issues To succeed, production AI needs proper architecture, monitoring, and scalability. Learn more about the essential patterns and tools for effective AI deployment! 📊🔧 #AI #TechTrends #ProductionAI #MachineLearning #Innovation
Source: The New Stack
Oladimeji Sowole