Datadog Leverages AI to Extend Observability Reach Deeper into DevOps Workflows
Datadog this week significantly extended the reach of its Bits artificial intelligence (AI) framework to enable DevOps teams to automatically discover and resolve issues based on the telemetry data collected by its observability platform. Announced at the company’s DASH 2026 conference, Datadog is now embedding an AI coding tool, dubbed Bits Code, across its entire […]
Security Flaw in Claude Code Illustrates the Risk of AI in Developer Workflows
AI coding agents are reshaping software development—but they’re also expanding the attack surface. Researchers uncovered a now-patched vulnerability in Anthropic’s Claude Code GitHub Action that could have enabled prompt injection attacks to expose CI/CD secrets, API keys, and credentials. As AI agents gain autonomy in development workflows, organizations must treat untrusted inputs as hostile and rethink CI/CD security models. Natural language is becoming executable code—and attackers know it.
Still Using API Keys for Your AI Agent? Here’s When it’s Time to Upgrade
API keys got you here. They won’t get you where you’re going. OAuth isn’t a future upgrade. It’s the foundation your agents should have been built on from the start.
GitLab Previews Revamped DevOps Platform for the Agentic AI Era
At 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, but several additions stand out to developers who rely on Copilot and other AI models day to day. A Million-Token Context Window One […]
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 (AI) coding tools. Anoop Deoras, director of applied science for agentic AI at AWS, said one of the issues that has arisen in […]
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 measures the impact that frontier AI models are having on actual production workflows versus relying on a set of benchmarks, such as SWE-bench […]
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 now. AI copilots are writing code, generating tests, triaging incidents, and even summarizing pull requests before a human looks at them. The tooling […]
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. Announced at the Gartner Security & Risk Management Summit, the Adaptive Learning capability added to the company’s learning platform detects which AI tools […]
Agentic DevSecOps: AI Security Co-Pilots for Your CI/CD Pipeline
The 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 can automatically scan code, infrastructure and other configurations for security issues throughout development, accelerating the overall process. The introduction of agentic AI into the software […]
The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure
In 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’ — latency, traffic, errors and saturation — as the ultimate truth of platform stability. If our API-response times are hovering at sub-100 ms, […]
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 that organizations plan to develop and deploy. Product Studio provides teams with a place to plan, draft, and refine product requirements using the […]
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, vice president of product at SmartBear, said the company’s TestComplete platform now combines computer vision and optical character recognition to help automate the […]
Agentic Observability is Not a Chatbot Over Telemetry
Agentic observability isn’t about removing engineers from the loop. It is about making the loop faster, better informed, and easier to operate at the scale modern systems require.
Harness Acquires Codecov to Identify Untested Code
Harness this week acquired Codecov, a provider of a platform that analyzes the percentage of a codebase that has been tested, from Sentry. Brad Rydzewski, a senior vice president and general manager for Harness, said Codecov makes it simpler for DevOps teams to track testing coverage at a time when the volume of code being […]
GitHub Copilot Gets Its Own App — and Agents Are the Reason Why
GitHub debuts the Copilot app at Microsoft Build 2026 — an agent-native desktop experience for managing parallel AI agents, canvases, sandboxes, and code review.
Survey Surfaces Pervasive Adoption of AI Across SDLC
Tricentis survey reveals 68% of orgs use AI in software delivery, but 60% admit to shipping untested code, leading to massive financial and security risks.
Postman Adds AI Agent to Automate API Development and Governance
Postman added an artificial intelligence (AI) agent to its portfolio of tools and platforms for building and governing application programming interfaces (APIs) that can autonomously perform tasks ranging from development and documentation to exploration and setting up integrations with continuous integration/continuous deployment (CI/CD) environments. Company CEO Abhinav Asthana said the AI Engineer significantly reduces the […]
Can Chainguard Save Open-Source Software From Mythos? Can Anyone?
IBM and Red Hat aren’t the only ones that mean to lock down open-source code against AI hacking tools. Last week, IBM and Red Hat launched Project Lightwell to protect open-source projects with $5 billion and 20 thousand engineers. Not to be outdone, with tongue in cheek, Chainguard’s CEO Dan Lorenc announced a $50 million, […]
xAI Opens Grok Build 0.1 to Developers via API
xAI’s Grok Build 0.1 is now available in public beta via the xAI API — a fast, purpose-built coding model for agentic workflows, debugging, and MCP support.
AI Is Changing How We Write Infrastructure, But It’s Not Solving How We Control It
Over the past year, AI has fundamentally changed how software is written. Infrastructure code is no exception. Tasks that once required deep familiarity with tools, syntax, and workflows can now be handled through natural language. Engineers are no longer starting from a blank file. In many cases, reviewing and modifying code generated for them has […]