AI
Lineaje Adds Ability to Automatically Apply Governance Policies to AI Components
Lineaje this week unfurled a platform that automatically discovers the artificial intelligence components of an application, defines security and governance policies, and then autonomously generates guardrails. At the core of the Lineaje ...
Checkmarx Adds Orchestration Framework to DevSecOps Platform
Checkmarx this week revamped its DevSecOps platform to include an orchestration framework for managing tasks assigned to artificial intelligence (AI) agents. Additionally, the company has added two additional artificial intelligence (AI) agents ...
Open SWE Captures the Architecture That Stripe, Coinbase and Ramp Built Independently for Internal Coding Agents
Tom Smith | | AgenticWorkflows, AGENTSmd, AICodingAgents, AutonomousAgents, CloudSandboxing, DeveloperExperience, devops, DevOpsAutomation, GitHubIntegration, LLMFramework, MITLicensed, SlackOps, SoftwareEngineeringIntelligence, SubagentOrchestrationExplore Open SWE, the open-source framework by LangChain that codifies the internal AI coding agent architectures used by Stripe, Ramp and Coinbase. Released March 17, 2026, this MIT-licensed project offers a customizable ...
Komodor Extends Reach of AI SRE Orchestration Framework
Komodor today extended the reach of its orchestration framework for artificial intelligence (AI) agents by adding support for Model Context Protocol (MCP) servers and the OpenAPI specification. Company CTO Itiel Shwartz said ...
Harness Extends AI Security Reach Across Entire DevOps Workflow
Harness today added an ability to automatically secure code as it is being written by an artificial intelligence (AI) coding tool in addition to adding a module to its DevOps platform that ...
Sauce Labs Makes AI Agent for Creating and Running Tests Available
Sauce Labs today made generally available an artificial intelligence (AI) agent that translates a natural language intent into a set of executable test suites that can run anywhere. Company CEO Dr. Prince ...
When Code Becomes Cheap, Engineering Becomes Governance
Alan Shimel | | AI code generation, AI-assisted development, apprenticeship, architecture, code governance, code oversight, democratization of coding, developer productivity, developer supervision, end of programming myth, governance era, industrialized programming, integration risk, maintainability, operations, security risk, software reliability, systems thinking, technical debt, validationAI agents can now generate in minutes what once took teams weeks, but the real shift is not faster coding. It is the collapse of code scarcity. As software production becomes industrialized, ...
Survey: AI Coding Exacerbates Existing DevOps Workflow Issues
A global survey of 700 software engineering practices published this week finds that thanks to increased reliance on artificial intelligence (AI) coding tools, well over a third (35%) are either achieving daily ...
The Risk Profile of AI-Driven Development
Ilkka Turunen | | AI-generated code, AIBOM, autonomous development, autonomous security, challenge bottleneck, CI CD gating, cloud-native security, Dependency Management, GRC engineering, hallucinations, IDE controls, license compliance, machine speed enforcement, OpenSSF Gemara, Outdated Dependencies, policy based dependency selection, prompt level governance, review bottleneck, runtime transparency, SBoM, secure by default, shift left security, Software Supply Chain, threat modeling, transitive dependencies, trusted registries, typosquattingAnalysis arguing that AI-driven code generation accelerates dependency decisions and expands supply-chain risk, requiring shift-left governance, prompt-level controls, automated SBOM/AIBOM visibility, threat-modeling as engineering, and autonomous security to match autonomous development ...
Sorry, Charlie, StarKist Wants AI With Good Taste
Alan Shimel | | Accelerate, accountability, AI alignment, AI Governance, behavioral generalization, blameless postmortems, character in AI, constitutional alignment, Culture Change, devops, emergent misalignment, ethical AI, guardrails, incentive design, incentives, insecure code, interdisciplinary alignment, model disposition, model governance, moral behavior, safety engineering, site reliability engineering, training data culture, training pipelines, trustworthiness, virtuesA surprising AI experiment showed that feeding a model sloppy code didn’t just produce bad programming, it produced bad behavior. The result points to something philosophers and DevOps engineers have long understood: ...
JetBrains Launches Air and Junie CLI to Blend Traditional IDE with AI Agents
JetBrains has launched a new “agentic” tooling stack that pairs a multi‑agent development environment, Air, with a standalone, LLM‑agnostic coding agent, Junie CLI. If you know JetBrains, you probably know it for ...
The Observability Bill is Coming Due – and AI Wrote Most of It
Alan Shimel | | agentic telemetry, AI in development, AIOps, APM (Application Performance Management), CI/CD (Continuous Integration/Continuous Deployment), data management, data quality, devops, instrumentation, Logging Standards, observability, Sawmills, Signal-to-Noise Ratio, software engineering, technology innovation, telemetry management, Telemetry OptimizationObservability has always had a data quality problem. AI coding agents just made it catastrophically worse. Shimmy sits down with the co-founders of Sawmills to dig into why unmanaged telemetry is the ...
