acceptance_criteria.md and restrictions.md were carrying internal
component selections (DINOv2/SuperPoint/FAISS/ESKF), library pins
(pymavlink/MAVSDK), autopilot parameter values (GPS1_TYPE=14,
EK3_SRC1_*, VISO_QUAL_MIN), and v1/v1.1 phasing tied to specific
ArduPilot PR numbers. Per IEEE 830 / Atlassian / GitScrum,
acceptance criteria must be design-independent — outcomes only,
not implementation. Cleaned both files (-35% combined size) while
preserving every testable threshold and contract bullet.
Output-schema label renamed: vo_extrapolated -> visual_propagated.
FC scope broadened from ArduPilot-only to ArduPilot + iNav (both
via standard MAVLink external-positioning interfaces).
Encoded the lesson into the two skills that write/refine AC:
- problem/SKILL.md (initial AC production)
- research/steps/01_mode-a-initial-research.md (Phase 1 AC
& Restrictions Assessment)
Autodev state reset to greenfield Step 2 (Research) for the
post-restart greenfield run; cycle 1, in-progress at sub-step
ac-restrictions-assessment.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Changed the autodev state to reflect the new phase and task name for remediation related to AZ-243.
- Updated the dependencies table to include the new task AZ-243 and adjusted dependencies for AZ-233.
- Added a section in the implementation completeness report to document the creation of the AZ-243 remediation task aimed at integrating the production native VIO runtime.
- Modified the Docker Compose configuration to include an input root for replay tests and added an environment variable for enabling SITL.
- Enhanced documentation for various testing processes, including the addition of a Runtime Completeness Decomposition Gate and clarifications on internal module testing requirements.
- Updated the implementation completeness report to reflect the current state and added new test cases for performance and resilience scenarios.
Co-authored-by: Cursor <cursoragent@cursor.com>
Confirm the existing blackbox test task set is ready after product
remediation and advance autodev to test implementation.
Co-authored-by: Cursor <cursoragent@cursor.com>
Record that the remediated runtime remains directly testable and
advance autodev to test decomposition.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Refined task decomposition steps to ensure implementation tasks are atomic and complexity does not exceed 5 points.
- Enhanced the product implementation process with a completeness gate to verify task outcomes against architecture promises before proceeding to testing.
- Updated dependencies table to reflect new tasks and their relationships, ensuring all test tasks are linked to product remediation tasks.
- Adjusted workflow documentation to clarify entry points for task decomposition and implementation contexts.
Co-authored-by: Cursor <cursoragent@cursor.com>
Keep generated tiles auditable and untrusted onboard while preserving
covariance, quality, and sidecar metadata for post-flight sync.
Co-authored-by: Cursor <cursoragent@cursor.com>
Implement the first runtime component boundaries around the shared
contracts so downstream batches can consume typed frame, MAVLink, tile,
and FDR behavior with focused tests and batch evidence.
Co-authored-by: Cursor <cursoragent@cursor.com>
Provide deterministic geometry/time-sync helpers and structured config, error, health, and telemetry primitives for downstream runtime components.
Co-authored-by: Cursor <cursoragent@cursor.com>
Implement the shared DTO contract surface with validation so runtime components consume one public model set instead of duplicating shapes.
Co-authored-by: Cursor <cursoragent@cursor.com>
Add the initial source, test, infrastructure, CI, configuration, and evidence-path scaffold so dependent implementation tasks have stable package and runtime boundaries.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Revised acceptance criteria in the acceptance_criteria.md file to clarify metrics and expectations, including updates to GPS accuracy and image processing quality.
- Enhanced restrictions documentation to reflect operational parameters and constraints for UAV flights, including camera specifications and satellite imagery usage.
- Added new research documents for acceptance criteria assessment and question decomposition to support ongoing project evaluation and decision-making.
Oleksandr Bezdieniezhnykh