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Developer’s Checklist: How to Build an FHE Application
David Archer | | BFV, BGV, bootstrapping, Chebyshev approximation, ciphertext packing, CKKS, confidential computing, encrypted cloud computing, encrypted computation, encrypted machine learning, federated learning, FHE, FHE application development, FHE development checklist, FHE parameters, FHE performance, FHE testing, fixed-point arithmetic, fully homomorphic encryption, homomorphic encryption, multiplicative depth, Niobium FHE, noise budget, OpenFHE, polynomial approximation, privacy-preserving AI, privacy-preserving computing, secure computation, SIMD encryptionA practical guide to building fully homomorphic encryption applications, covering architecture, noise budgets, polynomial approximations, parameter choices, SIMD packing, testing and performance optimization ...
The Agent Proposes, the Pipeline Disposes: Controls for AI-Authored Change
Veera Ravindra Divi | | agent permissions, agentic coding, AI change control, AI code review, AI coding agents, AI Governance, AI pull requests, AI software development, AI-authored code, AI-generated code security, autonomous coding agents, bounded-write agents, change-budget gates, CI/CD security, human-in-the-loop, in-toto, independent evals, least-privilege, policy as code, protected paths, provenance attestation, provenance verification, Secure DevOps, signed attestations, Sigstore, SLSA, Software Supply Chain Security, staged autonomyWhen agents write code and open pull requests faster than humans can read them, ‘the diff looked fine’ stops being a control. The durable controls live outside the agent’s reasoning loop ...
What You Cannot See Will Break Your LLM App: A Practitioner Guide to Production Observability
Gourav Singla | | AI monitoring, AI observability, AI quality monitoring, automated AI evaluation, Distributed Tracing, finish reason, hallucination monitoring, LLM cost observability, LLM latency, LLM monitoring, LLM observability, LLM tracing, model-graded evaluation, OpenTelemetry GenAI, OTel GenAI, production AI reliability, production LLMs, prompt failures, prompt regression, provider monitoring, quality drift, token budget alerting, token cost monitoringTraditional application observability was built around a simple mental model: Your code runs, metrics come out and when something breaks, the logs tell you why. Large language models (LLMs) break that model ...
Software Deployment Strategies for Enterprise Teams: A Scenario-Based Guide to Choosing the Right Approach
Sophie Lane | | blue-green deployment, blue-green strategy, canary deployment, canary release, CI/CD, database schema changes, deployment risk management, deployment strategy, deployment verification, DevOps deployment, enterprise software deployment, expand-contract pattern, feature flag management, feature flags, production deployment, production reliability, release management, rollback strategy, rolling deployment, rolling update, software deployment strategies, software release strategyChoosing the right software deployment strategy depends on the scenario. Get a practical decision framework for enterprise teams ...
Why CI/CD Security Testing Is Going Autonomous (and Why It Should Stay Local)
mehdi boutayeb | | application security, autonomous security testing, CI/CD, devsecops, penetration testing, Software Supply ChainContinuous integration and delivery changed the tempo of software. Teams merge dozens of times a day, infrastructure is redefined on every commit, and a new build can reach production in minutes. Security ...
LiteLLM Attack Affected 2,500 Companies, 434,000 CI/CD Pipelines: CloudSEK
Jeff Burt | | AI infrastructure, AI supply chain attacks, AI-driven CI/CD pipelines, Aqua Security Trivy, CloudSEK, code repositories, FBI, information stealing, LiteLLM, malware, Mini Shai-Hulud, PyPi, TeamPCPThe massive supply-chain attack that compromised LiteLLM in the spring affected more than 2,500 companies and exposed about 434,000 CI/CD pipelines, with victims ranging from top-tier IT and AI companies to cybersecurity ...
Survey Surfaces Rising Tide of Production Issues Traced Back to AI Code
A survey of 400 business and engineering executives finds 80% have traced a production incident, outage, or customer-impacting defect to code generated by artificial intelligence (AI) tools in the past 12 months ...
How Test Management Tools Give Engineering Teams the Visibility They Need to Ship With Confidence
Sancharini Panda | | API testing, Automated testing, change-aware testing, CI/CD, code coverage, coverage visibility, deployment confidence, deployment risk, DevOps Testing, engineering teams, flaky tests, Keploy, Quality Assurance, regression testing, software delivery, software testing, test case currency, test case management, test coverage, test coverage gaps, test management tools, test traceabilityTest management tools do more than track results. Learn how they give engineering teams the coverage visibility needed to ship with confidence ...
The Rise of AI-Native DevOps: How AI Is Reshaping Software Delivery in 2026
For years, DevOps had a pretty straightforward mission: help teams ship reliable software faster by getting development and operations folks working together. Tools like automation, continuous integration, continuous delivery, infrastructure as code, ...
Why Standardized Developer Environments Still Break DevOps Workflows
Samuel Ogbonna | | CI/CD, Dev Containers, Developer Environments, developer experience, docker, reproducibilityStandardized developer environments promise to eliminate one of software engineering's oldest explanations: "It works on my machine." By packaging approved runtimes, dependencies and tools into containers, virtual machines or cloud workspaces, organizations ...
Anthropic Makes Claude Code’s Auto Mode the Default, Betting Automation Beats Manual Review
Tom Smith | | agent permissions, agentic coding, AI code generation, AI coding agents, AI Governance, AI guardrails, AI permissions, AI safety, AI security, Anthropic, autonomous coding agents, Claude Code, Claude Code auto mode, Claude Code security, coding automation, developer productivity, developer tools, human engineering the loop, human-in-the-loop, permission fatigue, prompt injection, Pull Request Automation, secure AI agents, software development, software engineeringAnthropic is making Claude Code’s auto mode the default for Pro, Max and Team users, replacing constant permission prompts with classifier-based guardrails designed to catch risky actions without slowing developers down ...
Ten Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these ...
