Position paper on context helpers, repository reality, and agentic readiness.
Reliable agentic software delivery depends on context before autonomy. The gap between capable coding agents and safe production behavior is often not model capability, but missing repository context about defensive patterns, local constraints, …
Research on repository context helpers and agentic readiness.
AI-assisted development is already happening at scale, but many active repositories still do not provide explicit guidance to the coding agents operating inside them. That leaves a gap between tool adoption and repository readiness. Without …
Position paper on defensive patterns in complex, mature codebases and delivery practice.
Defensive patterns are often repository memory in an awkward form: adaptations to delivery pressure, operational risk, and local history. For coding agents, those patterns need explicit interpretation before they can be treated as signals rather …
Research on defensive patterns in complex, mature codebases and delivery practice.
This lane explores defensive patterns in source code and delivery practice: behaviors that may look like anti-patterns in isolation, but often emerge as rational responses to brittle systems, uneven documentation, delivery pressure, operational …
Position paper on agentic confidence assessment and governance.
Confidence in coding agents is not a static model property. It is a context-dependent judgment that accumulates over time through evidence about task scope, repository grounding, validation strength, failure behavior, and human tolerance for …
Research on agentic confidence assessment and governance.
As AI systems become more capable in coding, reasoning, and agentic workflows, the practical question is no longer whether they can produce useful output. The harder question is how confidence in those systems can be formed, qualified, and …