Amazon Web Services (AWS) this week at the Black Hat USA conference revealed it is working with both Anthropic and OpenAI to integrate their respective coding tools with a service […]
Block Details Builderbot Framework for Orchestrating AI Agents Across SDLC
The software engineers at Block have developed an orchestration layer they are using to manage artificial intelligence (AI) agents that have been trained to automate multiple tasks across their software […]
Your Foundation Model is a Service. Operate it Like One
The FM life cycle is just the SDLC with more math and less mercy at 3 a.m. You have survived canary deployments that took out 40% of prod instead of […]
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 […]
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.
Continuous Security in DevSecOps: Moving Beyond One-Time Testing
Waiting for a single annual pentest to secure your application is like locking your front door only once a year and hoping for the best. In an era where 133 new vulnerabilities are reported […]
Survey Surfaces Significant Levels of IDP Investment to Reduce SDLC Friction
A survey of 954 IT decision-makers suggests more resources are now being allocated to reducing friction across the software development lifecycle (SDLC). Conducted by CDW, the survey finds more than […]
Arm Adds Free Toolkit to Analyze AI Agent Performance
Arm this week made available a free toolkit for analyzing agentic artificial intelligence (AI) workloads as they are being developed by DevOps and platform engineering teams. Earlier this year, Arm […]
Microsoft Turns to Anthropic’s Mythos to Improve Cyber Defense
Microsoft has unveiled plans to incorporate Anthropic’s Claude Mythos Preview model and other AI models into its Security Development Lifecycle, embedding AI directly into the stages where code is written […]
Can QA Reignite its Purpose in the Agentic Code Generation Era?
AI-generated code is accelerating development but it exposes a deeper issue. Why deterministic infrastructure is becoming the foundation of agentic QA.
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