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https://github.com/leonvanzyl/autocoder.git
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feat: add multi-feature batching for coding agents
Enable the orchestrator to assign 1-3 features per coding agent subprocess, selected via dependency chain extension + same-category fill. This reduces cold-start overhead and leverages shared context across related features. Orchestrator (parallel_orchestrator.py): - Add batch tracking: _batch_features and _feature_to_primary data structures - Add build_feature_batches() with dependency chain + category fill algorithm - Add start_feature_batch() and _spawn_coding_agent_batch() methods - Update _on_agent_complete() for batch cleanup across all features - Update stop_feature() with _feature_to_primary lookup - Update get_ready_features() to exclude all batch feature IDs - Update main loop to build batches then spawn per available slot CLI and agent layer: - Add --feature-ids (comma-separated) and --batch-size CLI args - Add feature_ids parameter to run_autonomous_agent() with batch prompt selection - Add get_batch_feature_prompt() with sequential workflow instructions WebSocket layer (server/websocket.py): - Add BATCH_CODING_AGENT_START_PATTERN and BATCH_FEATURES_COMPLETE_PATTERN - Add _handle_batch_agent_start() and _handle_batch_agent_complete() methods - Add featureIds field to all agent_update messages - Track current_feature_id updates as agent moves through batch Frontend (React UI): - Add featureIds to ActiveAgent and WSAgentUpdateMessage types - Update KanbanColumn and DependencyGraph agent-feature maps for batch - Update AgentCard to show "Batch: #X, #Y, #Z" with active feature highlight - Add "Features per Agent" segmented control (1-3) in SettingsModal Settings integration (full stack): - Add batch_size to schemas, settings router, agent router, process manager - Default batch_size=3, user-configurable 1-3 via settings UI - batch_size=1 is functionally identical to pre-batching behavior Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -133,6 +133,13 @@ Authentication:
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help="Work on a specific feature ID only (used by orchestrator for coding agents)",
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)
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parser.add_argument(
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"--feature-ids",
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type=str,
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default=None,
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help="Comma-separated feature IDs to implement in batch (e.g., '5,8,12')",
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)
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# Agent type for subprocess mode
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parser.add_argument(
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"--agent-type",
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@@ -170,6 +177,13 @@ Authentication:
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help="Number of features per testing batch (1-5, default: 3)",
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)
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parser.add_argument(
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"--batch-size",
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type=int,
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default=3,
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help="Max features per coding agent batch (1-3, default: 3)",
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)
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return parser.parse_args()
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@@ -222,6 +236,15 @@ def main() -> None:
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print(f"Error: --testing-feature-ids must be comma-separated integers, got: {args.testing_feature_ids}")
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return
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# Parse batch coding feature IDs (comma-separated string -> list[int])
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coding_feature_ids: list[int] | None = None
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if args.feature_ids:
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try:
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coding_feature_ids = [int(x.strip()) for x in args.feature_ids.split(",") if x.strip()]
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except ValueError:
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print(f"Error: --feature-ids must be comma-separated integers, got: {args.feature_ids}")
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return
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try:
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if args.agent_type:
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# Subprocess mode - spawned by orchestrator for a specific role
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@@ -232,6 +255,7 @@ def main() -> None:
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max_iterations=args.max_iterations or 1,
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yolo_mode=args.yolo,
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feature_id=args.feature_id,
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feature_ids=coding_feature_ids,
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agent_type=args.agent_type,
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testing_feature_id=args.testing_feature_id,
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testing_feature_ids=testing_feature_ids,
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@@ -254,6 +278,7 @@ def main() -> None:
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yolo_mode=args.yolo,
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testing_agent_ratio=args.testing_ratio,
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testing_batch_size=args.testing_batch_size,
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batch_size=args.batch_size,
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)
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)
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except KeyboardInterrupt:
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