This issue integrates the critical architectural learnings from the derailed Grid Multi-Body session (Epic #9492) and codifies our "Self-Evolving Systems" mandate into the core agent operational files (AGENTS.md and AGENTS_STARTUP.md).
The Problem:
- During complex structural state synchronization, the agent succumbed to "Whack-A-Mole" debugging: repeatedly running complete Whitebox E2E suites on slight hypotheses instead of mathematically verifying VDOM structures directly using targeted Neural Link agent tools.
- The agent protocols lacked an explicit mandate to scale meta-level insights back into the system's operational framework rapidly.
The Architectural Reality:
We have modified the core agent operational files to patch these gaps:
AGENTS.md (Section 10) now mandates prioritizing direct Neural Link agent introspection (e.g. inspect_component_render_tree) to validate VDOM payloads dynamically before falling back to executing full Whitebox E2E test suites.AGENTS.md (Section 13) and AGENTS_STARTUP.md (Section 3.3) have been expanded to dictate a "Self-Evolving System." Agents must now actively seek and propose workflow, collaboration, and protocol enhancements based on chronological friction analysis.AGENTS.md mandates drafting State Topologies (ideation-sandbox) before complex DOM-reconciliation tasks.AGENTS.md introduces a "Productive Failure Loop" (3-5x threshold) circuit breaker tracking via local artifacts, avoiding remote tool pollution, alongside a 25-turn global hard stop limit.
Avoided Traps:
We rejected standard "black-box E2E" assumptions, rigidly enforcing Neo's Whitebox E2E architecture. We also deliberately avoided enforcing remote GitHub Discussions (ideation-sandbox) for short-term loop tripwires, protecting remote repositories from transient debugging pollution, reserving remote nodes only for systemic architectural shifts.
This issue integrates the critical architectural learnings from the derailed Grid Multi-Body session (Epic #9492) and codifies our "Self-Evolving Systems" mandate into the core agent operational files (
AGENTS.mdandAGENTS_STARTUP.md).The Problem:
The Architectural Reality: We have modified the core agent operational files to patch these gaps:
AGENTS.md(Section 10) now mandates prioritizing direct Neural Link agent introspection (e.g.inspect_component_render_tree) to validate VDOM payloads dynamically before falling back to executing full Whitebox E2E test suites.AGENTS.md(Section 13) andAGENTS_STARTUP.md(Section 3.3) have been expanded to dictate a "Self-Evolving System." Agents must now actively seek and propose workflow, collaboration, and protocol enhancements based on chronological friction analysis.AGENTS.mdmandates drafting State Topologies (ideation-sandbox) before complex DOM-reconciliation tasks.AGENTS.mdintroduces a "Productive Failure Loop" (3-5x threshold) circuit breaker tracking via local artifacts, avoiding remote tool pollution, alongside a 25-turn global hard stop limit.Avoided Traps: We rejected standard "black-box E2E" assumptions, rigidly enforcing Neo's Whitebox E2E architecture. We also deliberately avoided enforcing remote GitHub Discussions (
ideation-sandbox) for short-term loop tripwires, protecting remote repositories from transient debugging pollution, reserving remote nodes only for systemic architectural shifts.