AI
Analysis Identifies 10 AI Coding Tool Behaviors That Ignore Best Software Engineering Practices
An analysis of more than 300 open source repositories published today by Ox Security, a provider of an application security posture management (ASPM) platform, identifies 10 systematic behaviors of artificial intelligence (AI) ...
Harness Adds Vibecoding Tool to Migrate Databases Within DevOps Workflows
Mike Vizard | | AI in DevOps, AI-powered database migration, backward compatibility, CI/CD, compliance automation, database as code, database devops, database modernization, devops automation, Harness, Harness AI platform, Model Context Protocol Server, natural language interface, Oracle to Postgres migration, platform engineering, schema migration, Software Delivery Knowledge Graph, SQL automation, Stephen Atwell, vibecodingHarness adds an AI-powered vibecoding tool to automate database migrations via natural language, integrating seamlessly with its CI/CD DevOps platform ...
The Agentic AI-Driven Future of Telemetry
Perry Correll | | 10x investigators, agentic telemetry, AI infrastructure, AI observability, AI reasoning, AI scalability, AI-driven operations, AI-first architecture, autonomous agents, context fusion, contextual telemetry, human-in-the-loop, KubeCon + CNC NA 2025, MELT stack, metrics events logs traces, observability platforms, OCSF, OpenTelemetry, schema-agnostic architecture, telemetry normalizationTelemetry is evolving from passive data to AI-grade fuel. Learn how agentic telemetry fuses human and machine context to power self-healing, intelligent systems ...
Before You Go Agentic: Top Guardrails to Safely Deploy AI Agents in Observability
Pankaj Thakkar | | agentic AI, AI audit trails, AI cost management, AI deployment controls, AI Governance, AI guardrails, AI in DevOps, AI observability safety, AI operations, AI policy validation, AI rate limiting, autonomous agents, data privacy, human-in-the-loop, KubeCon 2025, observability, OpenTelemetry, role-based access control, self-healing infrastructure, zero-trustObservability platforms are evolving from passive monitors to active participants. Agentic AI promises a self-healing infrastructure that detects anomalies and fixes issues before users notice, reducing resolution time from hours to minutes ...
The Breakneck Future of Codegen: Why AI SWE Must Be Matched with AI SRE
Anish Agarwal | | AI automation, AI code generation, AI in DevOps, AI infrastructure, AI observability, AI operations, AI reliability, AI SRE, AI-Driven Development, cloud-native systems, code duplication, distributed inference, GitHub Copilot, incident management, parallel reasoning, resilience engineering, site reliability engineering, software reliability, software vulnerabilities, technical debtAI codegen is transforming software development — but as speed and complexity increase, so does fragility. AI for site reliability will need to keep pace to avoid system breakdown and engineer burnout. ...
The Developer’s Guide to Agentic AI: The Five Stages of Agent Lifecycle Management
Dan Fernandez | | adaptive AI systems, agent lifecycle management, agent-based systems, agentic enterprise, AI adaptability, AI agents, AI ALM, AI development lifecycle, AI Governance, AI in enterprise, AI innovation, autonomous agents, business automation, continuous AI improvement, enterprise transformation, generative AI, intent-driven agents, Salesforce Agentforce, self-improving AI, Stanford SIRIUS frameworkDiscover how AI agents evolve from task executors to adaptive, self-improving systems through Agentic Lifecycle Management, driving agility and innovation ...
Cycode Previews Ability to Identify AI Tools and Platforms Used to Write Code
Cycode today announced it is providing early access to a capability that identifies which artificial intelligence (AI) coding tools are being employed by application developers in addition to adding an AI Bill ...
How Software Engineers and Students Use AI to Move Faster than Ever (Without Breaking Things)
Vivek Vaidya | | agentic AI, AI adoption, AI and students, AI coding tools, AI collaboration, AI engineers, AI evolution, AI in education, AI in software development, AI in universities, AI innovation, AI revolution, AI skills, AI skills gap, AI startups, AI Tools for Developers, AI transformation, AI workforce adaptation, AI-native companies, AI-native design, AI-native learning, AI-powered development, AI/ML, artificial intelligence, augmented development, augmented intelligence, Cursor, developer productivity, digital transformation, Enterprise AI, future of work, human-AI collaboration, LLMs, machine learning, super{set}, VC investment in AIWe’re living through the AI revolution — or more accurately, the age of augmented intelligence. From agentic AI tools transforming software development to AI-native education shaping the next generation, super{set} explores how ...
Survey Sees Developers Embracing AI Faster than Project Leaders
A survey of 1,129 developers and 50 project managers suggests that individual developers are significantly further ahead when it comes to embracing AI than managers of application development projects. Conducted by BairesDev, ...
ChatGPT Developer Mode: Full MCP Access with Serious Responsibilities
OpenAI recently released Developer Mode for ChatGPT, and it's not for everyone. This beta feature provides full Model Context Protocol (MCP) client support, granting complete access to both read and write operations ...
Massive VS Code Secrets Leak Puts Focus on Extensions, AI: Wiz
Researchers with cybersecurity firm Wiz earlier this year discovered, almost by chance, a significant supply chain risk and massive secrets leak in the Visual Studio Code and OpenVSX marketplaces that they said ...
Survey Surfaces Widespread Adoption of AI to Improve DevSecOps
A global survey of 1,015 IT professionals with responsibility for application security finds more than three quarters (77%) are using artificial intelligence (AI), with another 13% considering adoption. Conducted by Fastly, a ...
