AI
GitLab Previews Revamped DevOps Platform for the Agentic AI Era
Mike Vizard | | Agentic Workflows, AI agents, AI coding tools, AI governance framework, context graph, devops, devsecops, Git protocol, gitlab, GitLab Flex, GitLab Orbit, software lifecycle engineering, Transcend 2026At Transcend 2026, GitLab launched updates to optimize its DevOps platform for AI-generated code, featuring Next Gen Source Code Management, GitLab Orbit, and an AI Governance framework ...
Survey Surfaces Emerging DevOps Bottlenecks in the AI Coding Era
New Black Duck survey reveals AI coding tools boost developer productivity but create critical bottlenecks in manual reviews, code rework, and security vulnerabilities ...
Visual Studio Code 1.123 Brings Deeper AI Integration and Smarter Agent Tools
Microsoft released Visual Studio Code 1.123 on June 3, expanding its AI-assisted development capabilities with features that reflect the editor's direction: toward a more agentic, context-aware workflow. The update is relatively focused, ...
AWS Unfurls Open Source AI Agent to Enable Better AI Coding Outcomes
Amazon Web Services (AWS) today previewed a customizable lightweight, open-source harness, dubbed Simple Strands Agent (SSA), that looks to provide a more consistent approach to the interactions that occur between artificial intelligence ...
Kilo Adds Benchmark to Identify Most Efficient AI Models for Coding
Kilo today made available a benchmarking framework for its open source artificial intelligence (AI) agent that enables application development teams to generate code using multiple models. Company CEO Scott Breitenother said KiloBench ...
The Hidden Cost of AI Code: Keeping Quality Up With Production
AI accelerated code delivery, but the bigger change is in who's building software, how much is being built and what it takes to trust it. ...
AI Is Accelerating DevOps, Poor Integrations Are Slowing It Down
As AI speeds up software delivery, the real bottleneck isn't scanning or CI. It's how safely and predictably change moves across tools, teams, and companies. Something strange is happening in DevOps right ...
Secure Code Warrior Leverages AI to Extend DevSecOps Training Reach
Secure Code Warrior this week extended the capability of its artificial intelligence (AI) agent to make it possible to surface relevant training insights in real time as application developers are writing code ...
Agentic DevSecOps: AI Security Co-Pilots for Your CI/CD Pipeline
Joydip Kanjilal | | agentic AI, AI copilots, AI Governance, AI incident response, AI pipeline management, AI security, AI security agents, AI threat detection, AI vulnerability scanning, AI-driven security, AI-powered DevSecOps, application security, autonomous AI agents, autonomous security testing, CI/CD security, Cloud Security, continuous security monitoring, cybersecurity automation, devops security, devsecops, devsecops automation, infrastructure security, intelligent automation, real-time threat intelligence, SDLC security, Secure software delivery, security automation, security operations, security orchestration, security posture management, software development lifecycle, software security, threat remediationThe emergence of AI has brought endless possibilities and innovative opportunities in today’s ever-changing, fast-paced technology landscape. AI is helping development teams produce software significantly faster than ever before. AI-enabled DevSecOps tools ...
The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure
Jyostna Seelam | | AI architecture, AI compliance, AI Governance, AI guardrails, AI infrastructure, AI monitoring, AI observability, AI operations, AI operations strategy., AI performance metrics, AI platform monitoring, AI reliability, AI resilience, AI safety, AI SLIs, AI SLOs, AI system reliability, AI telemetry, AI trust, Enterprise AI, generative AI monitoring, guardrail intervention rate, hallucination detection, LLM monitoring, LLM observability, modern SRE, non-deterministic systems, Observability Engineering, OpenTelemetry, platform engineering, production AI, RAG observability, RAG systems, semantic drift, site reliability engineering, SRE, time to first token, token throughput, TTFT, vector database monitoringIn complex software systems, our traditional definition of operational health has always been comfortably binary. For over a decade, site reliability engineering (SRE) teams have relied on the industry-standard ‘Four Golden Signals’ ...
Allstacks Extends Reach of Software Engineering Intelligence Platform to AI Agents
Allstacks this week added a shared workspace capability to its software engineering intelligence platform that makes it simpler for product and software engineering teams to create specifications for artificial intelligence (AI) agents ...
SmartBear Adds Computer Vision Capability to Testing Platform
SmartBear this week extended its ability to apply artificial intelligence to application testing with the addition of a computer vision capability that can be used to detect objects in applications. Prashant Mohan, ...
