The Framework JetBrains Uses to Predict the AI Market Landscape
In a Nutshell
The AIDE framework maps AI development tooling across three dimensions: 35 software creation activities, five delegation levels from simple tools to full autonomous execution, and organizational contexts. The market currently sits at L3 (general purpose executors like Claude Code), with cloud agents just reaching L4 capabilities. Future development will shift from code implementation toward solution engineering and intent management, with AI transitioning from tool to managed intelligence resource within vertically integrated production platforms.
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Speed of change in AI is manageable when viewing the bigger picture rather than tracking every individual update. The approach focuses on understanding where current developments originate and where they ultimately lead, rather than monitoring everything happening in real time. This creates a filtering mechanism that prevents change fatigue.
AI has become standard in developers' professional lives, adopted not only for personal projects but also in enterprise environments. Agentic coding represents a fundamental shift where developers delegate complete development tasks to agents for end-to-end execution, moving from code-validate-fix cycles in editors to task setting, execution, and review in agentic chat interfaces.
Anthropic's Claude Code drove significant market movement, currently used by approximately 8 million coding professionals and generating around 6 billion in yearly revenue. The release initiated a competitive landscape of IDE-agnostic CLI coding agents, with offerings now available from OpenAI, Google, and specialized companies.
Agents are transitioning to cloud environments, enabling autonomous work delegation. Current cloud agents can handle simpler tasks such as fixing linting errors from failed CI runs, though capabilities remain limited to what are described as garbage tasks.
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