Incredibuild this week developed a sandbox, dubbed Islo , that makes it possible to safely run artificial intelligence (AI) coding agents. Company CEO Shimon Hason said Islo provides an isolated execution environment that enables DevOps teams to limit access to sensitive data, codebases, resources and services. Each AI coding agent is then provided with its own dedicated, isolated environment that operates independently and can be centrally managed by a DevOps team. DevOps teams can deploy Islo independently of the Incredibuild platform or, alternatively, use the Incredibuild software development lifecycle (SDLC) management platform to apply policy controls, manage agent identities, enforce guardrails, enable observability, ensure performance and, most importantly, control costs, said Hason. Collectively, these capabilities provide the added benefit of also making it simpler to assign long-running tasks to an AI agent that can be governed and managed without an application develope...
AI coding tools have advanced rapidly, but most are still designed around the individual developer. Their effectiveness depends heavily on a user’s ability to write understandable prompts, preserve architectural coherence across sessions, and identify areas that require additional work. This model works for some engineers, but it is far less dependable for a large organization’s development team, where software must align with defined standards, delivery processes and governance requirements. Today, AI development systems that reduce reliance on individual judgment are coming to market. They bring embedded structure, constraints, and verification directly into the platform. For organizations, customer-facing products and portals, building custom, design-led, mission-critical applications, the question is no longer whether AI can generate code. The real question is what an AI coding platform must look like to enable repeatable, reliable delivery at AI speed. The Limits Of Prompt-Based...