DevOps.com, Friday, August 21st, 2026
Production-Grade AI Eval Systems: What I Learned Putting LLMs on Call
Traditional SRE metrics stay green while an AI system fails customers, so evals are needed before release, in CI and on live traffic.
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233 articles · page 1 of 5
DevOps.com, Friday, August 21st, 2026
Traditional SRE metrics stay green while an AI system fails customers, so evals are needed before release, in CI and on live traffic.
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DevOps.com, Friday, August 21st, 2026
Post-quantum migration starts with discovering where vulnerable cryptography exists, which requires a continuous cryptographic inventory.
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DevOps.com, Friday, August 21st, 2026
AI test generators produce too many tests while missing boundary and business-logic cases; separating judgment from mechanics helps.
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DevOps.com, Friday, August 21st, 2026
DevOps.com argues stage-gated waterfall becomes useful again as a lightweight control structure over fast AI-generated work.
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DevOps.com, Wednesday, August 19th, 2026
OpenTelemetry delivers vendor-neutral instrumentation but carries significant ongoing operational labor.
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DevOps.com, Wednesday, August 19th, 2026
A study finds no universal best model for secure code, and higher cost does not mean safer output.
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DevOps.com, Monday, August 17th, 2026
GitHub's Copilot update lets developers switch AI models mid-session rather than committing to one.
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TechTarget, Tuesday, August 19th, 2025
Developers push back on AI because it redefines the job, not because they fear losing it.
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TechTarget, Tuesday, August 19th, 2025
When 40 alerts fire for one broken payment service, correlation is the bottleneck, not detection.
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TechTarget, Tuesday, August 19th, 2025
A ten-step guide for developers building fully homomorphic encryption applications that compute on encrypted data.
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TechTarget, Tuesday, August 19th, 2025
Autonomous security testing enables continuous proof-based vulnerability detection while local models protect sensitive data.
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TechTarget, Tuesday, August 19th, 2025
80% of executives traced a production incident to AI-generated code in the past year.
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TechTarget, Tuesday, August 19th, 2025
AI is transforming DevOps by embedding intelligent automation into CI/CD, incident response, and infrastructure management.
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TechTarget, Tuesday, August 19th, 2025
Standardized environments alone cannot eliminate inconsistencies across host systems, CI, and external services.
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DevOps.com, Friday, August 7th, 2026
HackerOne launches H1 Remediation to accelerate vulnerability fixing with AI-powered root cause analysis.
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DevOps.com, Friday, July 31st, 2026
Integrating log data into incident response reduces MTTR by providing real-time narrative context alongside metrics and traces.
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DevOps.com, Thursday, July 30th, 2026
AI coding assistants increase development speed faster than teams can verify code, creating hidden enterprise risk.
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DevOps.com, Wednesday, July 29th, 2026
AI-driven code generation accelerates productivity but introduces technical debt, security gaps, and quality issues.
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DevOps.com, Wednesday, July 29th, 2026
Self-managed open-source search platforms hide substantial infrastructure and labor costs that managed alternatives now address.
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DevOps.com, Wednesday, July 29th, 2026
Enterprises must implement centralized governance frameworks to manage AI coding agents at scale safely.
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DevOps.com, Tuesday, July 28th, 2026
AI adoption in CI/CD pipelines is growing, but most enterprises lack operational readiness and face integration challenges.
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DevOps.com, Tuesday, July 28th, 2026
DevOps teams struggle with information overload; structured weekly reviews help prioritize critical updates from noise.
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DevOps.com, Monday, July 27th, 2026
Survey shows 54% of organizations use AI across most of the SDLC, but quality concerns and governance gaps persist.
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DevOps.com, Monday, July 27th, 2026
Sustainable enterprise innovation requires architecture, governance, and culture beyond AI adoption.
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DevOps.com, Friday, July 24th, 2026
Common CI/CD pipeline mistakes cause delayed delivery, higher costs and reduced engineering productivity.
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DevOps.com, Friday, July 24th, 2026
AWS CloudWatch moves past reactive dashboards with AI-powered anomaly detection and automated incident analysis.
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DevOps.com, Friday, July 24th, 2026
Black Duck enhanced Coverity with AI integrations, security prioritization and new vulnerability detection.
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DevOps.com, Friday, July 24th, 2026
AI accelerated web feature delivery on an unfamiliar stack in two weeks, but human judgment remained essential.
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DevOps.com, Friday, July 24th, 2026
AI-generated infrastructure code passes security checks only about 55% of the time, creating governance gaps.
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DevOps.com, Thursday, July 23rd, 2026
AI agents are automating software testing through frameworks that adapt to application changes automatically.
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DevOps.com, Tuesday, July 21st, 2026
Organizations must integrate PKI automation and secure CI/CD pipelines to enforce zero trust from code inception.
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DevOps.com, Tuesday, July 21st, 2026
AI accelerates code generation but overwhelms review, shifting the bottleneck to understanding and governance.
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DevOps.com, Friday, July 17th, 2026
Token costs keep falling, but the retrieval infrastructure that feeds AI models accurate context remains expensive and under-engineered.
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DevOps.com, Thursday, July 16th, 2026
Autonomous AI testing agents need their own security validation frameworks or they become attack vectors themselves.
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DevOps.com, Monday, July 13th, 2026
Developer laptops hold credentials, source code and deploy access, making them a supply-chain attack surface as critical as CI/CD.
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DevOps.com, Thursday, July 9th, 2026
Delivery failures stem from systemic organizational problems, not individual team performance.
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DevOps.com, Thursday, July 9th, 2026
On-prem Azure DevOps needs different CI/CD design than cloud, covering agents, auth, and dependencies.
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DevOps.com, Thursday, July 9th, 2026
Shadow mode CI tests AI agents in isolated environments to catch behavioral failures before production.
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DevOps.com, Thursday, July 9th, 2026
A practical guide to a seven-stage DevSecOps CI/CD pipeline on Azure using GitHub Actions.
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DevOps.com, Thursday, July 9th, 2026
Using multiple AI agents in debate to design software systems as an automated architecture review board.
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DevOps.com, Tuesday, July 7th, 2026
Most outages start as gradual degradation, so baselines and user-facing monitoring matter most.
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DevOps.com, Tuesday, July 7th, 2026
AI coding tools shift bottlenecks downstream to review, security, and operations teams.
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DevOps.com, Tuesday, July 7th, 2026
As AI agents reach production, organizations must build accountability, not just capability.
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DevOps.com, Tuesday, July 7th, 2026
AI is shifting DevSecOps from vulnerability detection toward automated remediation and in-line guidance.
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DevOps.com, Thursday, July 2nd, 2026
Giving AI agents production access speeds incident response but multiplies security, escalation, and observability risks.
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DevOps.com, Wednesday, July 1st, 2026
AI agent reliability comes from layered system design and workflows, not from perfecting the individual agent.
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DevOps.com, Wednesday, July 1st, 2026
Platform engineering is not a replacement for DevOps but its maturation at enterprise scale.
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DevOps.com, Tuesday, June 30th, 2026
AI in testing pipelines erodes release confidence unless deterministic gates are kept separate from AI-assisted analysis.
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DevOps.com, Tuesday, June 30th, 2026
Teams adopting AI agents skip the feedback and learning practices needed to stop defects moving through systems at speed.
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DevOps.com, Tuesday, June 30th, 2026
OpenAI Codex can accelerate legacy application modernization, but human oversight remains imperative.
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