updated @ 08/04/2026 05:27:02
Your Agents Aren’t Failing. They’re Not Running.AI agents are being judged by the quality of their answers. That is the wrong place to start. Before asking whether an agent hallucinated, misunderstood a request or made a bad decision, ask: did the work run at all? I operate scheduled agents across roughly 18 services on one machine. They read telemetry, watch repositories... … continue reading
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Revenium’s launch of runtime controls enable organizations to monitor and enforce AI spending and create model access rules for AI calls. The controls, launched today as Guardrails, augment the company’s Tool Registry for monitoring what agents are spending, and its AI Outcomes, which measures whether that spend provided expected value. Guardrails gets ahead of those... … continue reading
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Software engineering leaders are increasingly being asked to build AI-powered applications and agents. AI engineering focuses on designing, developing, deploying, operating, and governing AI solutions in a way that delivers measurable business value. AI engineering builds on established software engineering principles, but it also introduces a host of new challenges. This article provides practical guidance... … continue reading
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Tabnine’s Enterprise Context Engine gives AI quality and testing agents system-level understanding of enterprise software environments, making agentic AI accurate, safe, and effective across complex systems AUSTIN, Texas – July 30, 2026 – Tricentis, the global leader in agentic quality engineering, today announced the acquisition of Tabnine, the AI-coding platform purpose-built for secure, context-aware enterprise software development.... … continue reading
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You rolled out Copilot, Cursor, or Claude Code across hundreds of engineers. Six months in, the productivity lift is real but smaller than the slide deck promised — and uneven, with some development teams flying and others barely moving. The AI isn’t underperforming. Your codebase is forcing it to. The new cost of carrying unused... … continue reading
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The debate about AI adoption is largely over. The more pressing question is how to ensure that AI governance keeps pace with AI adoption, but without slowing down time-to-value. This is true for any application, but especially for mission-critical ones. Being able to say, ‘We’d probably be able to stop the train in time,’ is... … continue reading
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WIth AI creating applications faster than reviewers can process them, they find ways around the process, which leads to the work appearing in uninspected environments and leaves the organization with a lack of visibility and. no way of understanding if the value has been delivered. In a recent study, Gartner predicts that vibe coding techniques... … continue reading
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SAN MATEO, Calif. — SnapLogic, the Agentic Integration Company, today announced the most significant advancement in SnapGPT since its introduction in 2023, transforming the industry’s first Generative Integration solution into an agentic assistant that helps enterprise teams plan, build, understand, and operate integrations through natural language. As AI-assisted development becomes table stakes, the question is... … continue reading
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The engineering teams winning with AI agents right now share one trait: they stopped treating security as a gate at the end of the pipeline and started treating it as a design constraint from the beginning. That shift sounds simple, but it runs counter to how most organizations have approached AI adoption. Move fast, secure... … continue reading
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Veracode’s 2026 GenAI Code Security Report finds AI-generated code security has stalled at a 56 percent pass rate — with coding-specific models no more secure than general-purpose ones. AI models built for software coding are no more secure than general-purpose models Despite major gains in AI speed, capability, and reasoning, the report reveals nearly half... … continue reading
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