JetBrains has released a framework it characterizes as a “theory of everything” for AI development tools, designed to explain not just the present state but what is possible in the near future.
AI is disrupting software development at a pace that yields new models, tools, and practices nearly every day, according to the report from JetBrains’ research team.
Rather than chasing every update, the authors say the key is understanding the larger patterns and where observed developments are likely to lead, which helps protect teams from change fatigue.
FOUNDATIONAL CONCEPTS: AIS, AIDE, AND DELEGATION
The framework distinguishes several core concepts. An Artificial Intelligent System (AIS) is any human-made system that demonstrates intelligence and helps users accomplish their goals in the context of their work. TechStaged has also covered GPT-5.6 debuts in Kiro, boosting price-performance for developers.
An Artificial Intelligent Development Environment (AIDE) is an AIS specialized for creating software, encompassing tools used at different stages and levels of work delegation.
The framework introduces the ideas of principal and agent, borrowed from economics and sociology, to describe who delegates and who acts, with the possibility for humans or AIS to occupy either role.
Software Creation is framed as a set of interdependent activities and delegations across roles, not merely writing code.
FOUNDATIONAL ASSUMPTIONS DRIVING THE MODEL
JetBrains lays out four foundational assumptions to ground the framework: software creation will persist as a goal; the main market evolution will be gradual delegation of tasks to artificial intelligent systems; AIS will augment rather than replace humans, who will maintain task specification and oversight; higher delegation to AIS will reduce an individual’s immersion in day-to-day tasks, making context management and uncertainty handling more important.
THE THREE DIMENSIONS OF THE FRAMEWORK EXPLAINED
The framework operates across three dimensions: stages of the software creation process, levels of delegation, and the organizational context of development.
It maps 35 high-level activities into five activity groups, spanning from Ideation and Conceptualization to Delivery, Maintenance, and Feedback Collection. This structure is intended to help teams reason about how AI can support different phases and forms of collaboration.
WHY THIS MATTERS NOW: CHANGING HOW TEAMS ADOPT AI
JetBrains notes that AI is now a normal part of many developers’ lives, with activity concentrated in brainstorming and coding, while other lifecycle areas remain less touched by automation.
Agentic coding—where AI agents perform coding tasks—has become increasingly common, and cloud-based AI agents are gaining traction as models improve and teams seek more autonomous, scalable tools.
The authors caution that adoption remains uneven across tasks and contexts, underscoring the ongoing need to manage context and uncertainty as delegation levels rise.
WHAT HAPPENS NEXT ACCORDING TO THE FRAMEWORK
The AIDEs Framework is presented as a prism for viewing the evolution of AI tools in development, rather than a predictive forecast. It aims to explain the sources of observed changes and point toward where the field might head as delegation to AIS grows and tool ecosystems mature.
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SOURCES
- The JetBrains Blog: The AIDEs Framework: How We Built a “Theory of Everything” for AI Development Tools Published · Primary source
