AI is shipping code faster than ever, but speed is exposing a dangerous gap: code that works in isolation often fails under real-world conditions like dependency latency or resource spikes. Automated reliability guardrails that test actual failure modes can catch those risks before production, validate fixes, and feed context back to AI agents without slowing pipelines down. Read why every AI coding pipeline needs reliability guardrails: https://lnkd.in/exDerp5R #AI #Reliability #DevOps #AICoding
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DevOps.com has established itself as an indispensable resource for DevOps education and community building. We make it our mission to cover all aspects of DevOps—philosophy, tools, business impact, best practices and more. DevOps.com is operated by Techstrong Group, Inc., the people behind Container Journal, Digital CxO, Security Boulevard and Techstrong TV.
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Meta just entered the AI coding agent race with Muse Code, a tool that handles planning, writing, and validating software. The company is betting on aggressive pay-as-you-go pricing to pull developers away from OpenAI and Anthropic, while simultaneously releasing an updated Muse Spark 1.2 model optimized for code. Read the full article to see how Meta plans to compete in coding: https://lnkd.in/esnYCeig #Meta #AICoding #DevTools #AI
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AWS is integrating its Continuum security service with AI coding tools from Anthropic and OpenAI, aiming to tighten the DevSecOps feedback loop as AI-generated code surges. The move comes as a Futurum survey finds 75 percent of organizations have already encountered production issues tied to AI, underscoring the challenge of governing agentic workflows before they ship. Read the full article to see how AWS is building security into agentic development: https://lnkd.in/eBVCiNWq #AWS #DevSecOps #Anthropic #OpenAI
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What if standardizing on one hardware vendor is actually slowing you down? Many of the world's largest banks and enterprise data centers rely on multi-vendor environments to improve resilience, flexibility, and operational control. Join RackN infrastructure experts to learn how leading organizations manage diverse hardware through a single operational model without adding complexity. You'll learn: • Why single-vendor strategies can limit flexibility • How to simplify operations across mixed hardware environments • Why automation, not standardization, is the key to scalability If you lead infrastructure, platform engineering, or data center operations, this webinar is for you. 📅 August 13 | 11:00 AM ET 🎟️ Reserve your seat: https://buff.ly/5XKQlwh #DataCenter #Infrastructure #PlatformEngineering #Automation #ITOperations
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AWS has launched Kiro Crew, an open-source AI workspace that lets developers assign async tasks to agents, coordinate multiple agents, and retain context across sessions. It includes security controls and reusable AI skills to reduce development work while maintaining oversight. Read the full article to learn how AWS is bringing agentic AI deeper into software development: https://lnkd.in/e2-WUe3N #AWS #AgenticAI #SoftwareDevelopment #DevOps
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Faster deployments don't always mean smoother releases. Recent industry research shows engineering teams are seeing more AI-related production incidents, limited review processes for AI-generated code, and higher rollback rates as AI adoption grows. That's exactly what DevOps Experience 2026 is built to address. Join engineering leaders and practitioners for a full day of practical sessions covering AI agents, platform engineering, DevSecOps, incident response, and the operational realities of AI-powered software delivery. 📅 September 24 | 9 AM–3 PM ET 🎟️ Free virtual event Explore the agenda and register today: 👉 devopsexperience.com
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RapidFort is extending its reach into production environments, helping DevOps teams secure open source software and monitor runtimes for unauthorized changes. By integrating a Runtime Bill of Materials and surfacing mitigation recommendations, the platform aims to reduce the attack surface and simplify vulnerability management in the AI era. Read more here: https://lnkd.in/gz_g2e8j #RapidFort #OpenSourceSecurity #RuntimeSecurity #DevSecOps
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AI coding tools are fixing yesterday’s bugs while planting new ones at scale, creating a dependency on future frontier models to clean up the mess. The deeper risk is that companies stop training junior engineers, setting up a prisoner’s dilemma where the whole industry needs skilled humans to oversee the robots but no single company wants to pay for them. Read more here: https://lnkd.in/gBtv-Siw #AICoding #TechDebt #DeveloperTools
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DevOps.com reposted this
Your developers may trust AI-generated code. Should your software supply chain? As AI accelerates software delivery, engineering teams need better ways to govern what moves through the delivery pipeline. Join Harness experts Mrinalini S. and Shankar Hariharan to learn how modern teams are securing AI-assisted software delivery with continuous governance, artifact traceability, and policy-driven controls. You'll learn: • Why AI-generated dependencies create new trust challenges • How artifact provenance improves software integrity • How continuous governance helps secure high-velocity delivery 📅 August 12 | 1:00 PM ET 🎟️ Reserve your seat: https://buff.ly/wcfwjkl #DevSecOps #SoftwareSupplyChain #ApplicationSecurity #PlatformEngineering #Harness
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Aikido Security researchers are tracking a fast-spreading Shai-Hulud supply-chain attack that has infected multiple software packages that combined deliver 2 billion downloads a month with information-stealing malware. The worm spreads through compromised maintainer tokens, stealing npm credentials, cloud keys, and secrets from developer machines and CI pipelines, then using those stolen tokens to infect even more packages. Read the full article for mitigation steps and threat details: https://lnkd.in/gcRDRvy8 #DevOps #DevSecOps #OpenSourceSecurity #SupplyChainSecurity

