BOSTON — OutSystems, an AI development platform, today released its global 2026 State of AI Development report, revealing that enterprises have moved decisively from AI experimentation to execution. Nearly every organization surveyed, 96%, is already using AI agents in some capacity, and 97% are exploring system-wide agentic AI strategies. The findings signal a clear shift from pilots to … continue reading
The world of AI is rapidly shifting from simply asking intelligent systems questions to delegating real work to autonomous AI agents. However, as these agents proliferate, a critical challenge remains: the lack of secure, isolated infrastructure to run them safely within an enterprise environment. This is the problem being tackled by NanoClaw and Docker, whose … continue reading
An enterprise builds an AI-powered contract review API that costs $1.58 per document to process: loading the contract, running five extraction passes through an LLM, flagging risks, and generating a summary. The unit economics are reasonable, and the API works well when called by internal applications. Then the team exposes this API via MCP for … continue reading
Over the past year, I’ve watched teams roll out increasingly capable AI systems, tooling, and agents, and then struggle to trust, adopt, or scale them. I’d argue that a lot of today’s AI adoption problem starts with how we are framing the shift. “Human-in-the-loop” (often shortened to HITL) has become one of today’s most overhyped … continue reading
The adoption of AI in enterprise organizations is causing an evolution in the practice of strategic portfolio management (SPM). The changes reshaping this — lean portfolio management, shorter application delivery cycles and the rise of agentic AI — are redefining how organizations align investment with execution. Many organizations that have brought AI into their operations … continue reading
AI agents promise a revolution in customer experience and operational efficiency. Yet, for many enterprises, that promise remains out of reach. Too many AI projects stall in the pilot phase, fail to scale, or are scrapped altogether. According to Gartner, 40% of agentic AI initiatives will be abandoned by 2027, while MIT research suggests 95% … continue reading
Gartner recently revealed a new report where it predicted that by the end of 2027, over 40% of agentic AI projects will be canceled. Factors contributing to this decline include escalating costs, unclear business value, and inadequate risk controls. According to the analyst firm, one trend it is seeing is that vendors are hyping up … continue reading
Advancements in artificial intelligence continue to give developers an edge in efficiently producing code, but developers and companies can’t forget that it’s an edge that can always cut both ways. The latest innovation is the advent of agentic AI, which brings automation and decision-making to complex development tasks. Agentic AI can be coupled with the … continue reading
Traditionally, developers have used test-driven development (TDD) to validate applications before implementing the actual functionality. In this approach, developers follow a cycle where they write a test designed to fail, then execute the minimum code necessary to make the test pass, refactor the code to improve quality, and repeat the process by adding more tests … continue reading
Oh no! Your application is unreachable, buried under multiple connection hops. How do you pinpoint the broken link? How do you generate an alert or bug report from Prometheus when certain conditions are met? You need to roll out a new version of your application. How do you execute a progressive rollout using Argo Rollouts? … continue reading
Earlier this year, the analyst firm Forrester revealed its list of the top 10 emerging technologies of 2024, and several of the technologies on the list related to AI agents – models that don’t just generate information but can perform complex tasks, make decisions and act autonomously. “Earlier AIs that could go do things were … continue reading
