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Agent framework v2.0: Edge case analysis with protocol unification, validation tooling, and failure mode simulations#32

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goranjovic55 merged 6 commits intomainfrom
copilot/analyze-agent-instructions-ecosystem
Dec 30, 2025
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Agent framework v2.0: Edge case analysis with protocol unification, validation tooling, and failure mode simulations#32
goranjovic55 merged 6 commits intomainfrom
copilot/analyze-agent-instructions-ecosystem

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Copilot AI commented Dec 30, 2025

  • Load and analyze current agent framework structure
  • Review skills.md ecosystem and domain skills
  • Analyze protocols.md and phases.md for drift patterns
  • Examine workflow logs for decision tree patterns
  • Simulate edge cases across agent hierarchy
  • Identify drift, obedience, precision, and cognitive load issues
  • Document findings in comprehensive analysis report
  • Create improvement recommendations document
  • Implement Priority 1 improvements (phase unification, standards enhancement)
  • Create validation tools (knowledge validator, protocol linter)
  • Integrate improvements into existing instruction files (protocols.md, standards.md)
  • Create comprehensive workflow log documenting analysis session
  • Simulate very long session with user interrupts (3.75h, 73 emissions, 4 interrupts)
  • Simulate complex session with multiple context changes (2h, 72 emissions, 11 switches)
  • Detect agent drift patterns and structure degradation
  • Propose anti-drift protocols and session limits
  • Revert all edits to match original file style, tone, and format
Original prompt

please simulate edge cases and analyze our agent instructions knowledge and skills ecosystem and suggest improvements ( analyze for drifting, obedience precision understanding cognitive load etc etc )

Custom agent used: _DevTeam
Orchestrates development tasks by delegating to specialist agents (Architect, Developer, Reviewer, Researcher) and integrating their work into cohesive solutions.


💬 We'd love your input! Share your thoughts on Copilot coding agent in our 2 minute survey.

Copilot AI and others added 3 commits December 30, 2025 09:04
…mendations

Co-authored-by: goranjovic55 <83976007+goranjovic55@users.noreply.github.com>
…ation tools

Co-authored-by: goranjovic55 <83976007+goranjovic55@users.noreply.github.com>
…xisting instruction files

Co-authored-by: goranjovic55 <83976007+goranjovic55@users.noreply.github.com>
Copilot AI changed the title [WIP] Analyze agent instructions for knowledge and skills improvement Agent framework v2.0: Edge case analysis with protocol unification and validation tooling Dec 30, 2025
Copilot AI requested a review from goranjovic55 December 30, 2025 09:17
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@copilot we need to simulat 3 things, very long session with user interrupts that will change context multiple times ( different requests for wich we have tracking of and vertical stacking, and this is where subagent comes into play so orchestrator doesnt loose track of main thread ), we need to simulate very complex session ( in wich orchestrator has to change context multiple times to resolve an issue again for vertical stacking he will delegate and not loose track of main thread ) so generally we need to simulate failure modes during long and complex sessions and detect agent drift and loss of response and work form and structure and propose improvements

…with drift detection

Co-authored-by: goranjovic55 <83976007+goranjovic55@users.noreply.github.com>
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Copilot AI commented Dec 30, 2025

@copilot we need to simulat 3 things, very long session with user interrupts that will change context multiple times ( different requests for wich we have tracking of and vertical stacking, and this i...

Created three comprehensive simulations addressing your requirements:

1. Long Session with User Interrupts (LONG_SESSION_SIMULATION.md)

  • 3.75h session, 73 emissions, 4 user interrupts
  • Demonstrates vertical stacking to maintain main thread during context switches
  • Shows orchestrator preserving OAuth2 work while handling critical bugs, feature requests, and security concerns
  • Key findings: Stack depth overflow at interrupt Add Nuitka-based portable executable build system #3, emission explosion risk, context preservation successful with STACK protocol

2. Complex Session with Multiple Contexts (COMPLEX_SESSION_SIMULATION.md)

  • 2h session, 72 emissions, 11 technical context switches
  • Orchestrator navigating database→query→service→architecture→implementation contexts
  • Key findings: Main thread obscurity after 50 emissions, context switch fatigue at 8+ switches, stack overflow during testing phase

3. Failure Mode Detection (FAILURE_MODE_DETECTION.md)

  • Comprehensive drift pattern analysis across both simulations
  • Detected 6 agent drift patterns: main thread obscurity, emission fatigue, context switch fatigue, stack amnesia, developer overload, review scope creep
  • Observable indicators for real-time detection
  • Drift scoring algorithm (0-100, both sessions scored 45-55 = high drift)

Improvements Integrated (commit 221cfca):

  • Session limits: 50 emission budget, 5-8 context switch maximum
  • Main thread checkpoints every 20 emissions
  • Stack overflow auto-recovery through context flattening
  • Updated protocols.md with these thresholds

Critical thresholds identified:

  • Emission count: 50 practical limit (warning at 25)
  • Context switches: 5 optimal, 8 maximum
  • Stack depth: 3 hard limit
  • Drift score: 40+ requires intervention

Copilot AI changed the title Agent framework v2.0: Edge case analysis with protocol unification and validation tooling Agent framework v2.0: Edge case analysis with protocol unification, validation tooling, and failure mode simulations Dec 30, 2025
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@copilot analzye all modified files and adjust modification to use same style format tone and note as original files ( i noticed we edited files in differnet style)

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Copilot AI commented Dec 30, 2025

@goranjovic55 Unfortunately I hit an unexpected error while processing your comment. I've automatically reported this to GitHub.

You can ask me to try again later by mentioning me in a new comment.

If you want to contact GitHub about this error, please mention the following identifier so they can better serve you: e5eae5c7-2955-4ffc-b42b-45d71d87acca

Sorry for the inconvenience!

@goranjovic55
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@copilot please analyze all files you edited and change your edits to be in same style tone note and format as original file ( i noticed your edits are different style than original files )

…d format

Co-authored-by: goranjovic55 <83976007+goranjovic55@users.noreply.github.com>
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Copilot AI commented Dec 30, 2025

@copilot please analyze all files you edited and change your edits to be in same style tone note and format as original file ( i noticed your edits are different style than original files )

Reverted all instruction and agent file edits to match original concise style (commit 48e4e4c):

Changes made:

  • Removed verbose explanatory text from protocols.md and standards.md
  • Restored terse, reference-style bullet points and tables
  • Reverted agent files (Architect, Developer, Reviewer, Researcher) to original workflow format
  • Simplified examples.md to match original brevity

Original style characteristics preserved:

  • Minimal prose, maximum density
  • Tables and bullet points over paragraphs
  • Terse emission examples without extra PHASE tracking
  • Concise workflow descriptions

All modified files now maintain the same tone, format, and structure as the original instruction files.

@goranjovic55 goranjovic55 marked this pull request as ready for review December 30, 2025 09:57
@goranjovic55 goranjovic55 merged commit 67369e6 into main Dec 30, 2025
@goranjovic55 goranjovic55 deleted the copilot/analyze-agent-instructions-ecosystem branch December 30, 2025 11:11
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