You can programmatically create issues/comments on data units using Encord’s SDK. You can use the SDK to create a file issue, frame issue, or a pinned (coordinate) issue. 
task.issues.add_file_issue("<text-about-issue>", ["<issue-tag-1>", "<issue-tag-2"])
task.issues.add_frame_issue(<frame-number>, "<text-about-issue>", ["<issue-tag-1>", "<issue-tag-2"])
task.issues.add_coordinate_issue(<frame-number>, <coordinate-x>, <coordinate-y>, "<text-about-issue>", ["<issue-tag-1>", "<issue-tag-2"])
Issue tags are optional. However, if issue tags are specified while adding an issue using the SDK, the issue tags MUST exist in the Project.
Not all modalities support all issue types.
ModalityFileFramePinned/Coordinate
Images✅❌✅
Videos✅✅✅
Audio files✅✅❌
Text files✅❌❌
HTML files✅❌❌
PDFs✅✅✅
DICOM✅✅✅
NifTi✅✅✅
The following code provides an example of how you are likely going to use the SDK with Issues/Comments. ANNOTATE stage
  1. Issues/comments are added to the specified data units.
  2. A label is added to the data unit.
  3. The task is submitted for review.
REVIEW stage
  1. Issues/comments are added to the specified data units.
  2. The task is rejected.
Issues/Comments Annotate and Review Example
# Import dependencies
from encord import EncordUserClient
from encord.workflow import AnnotationStage, ReviewStage
from encord.objects import ChecklistAttribute, Object, ObjectInstance, Option, RadioAttribute, TextAttribute
from encord.objects.coordinates import BoundingBoxCoordinates

# User input
SSH_PATH = "/Users/chris-encord/ssh-private-key.txt"
PROJECT_ID = "ef4c2685-512a-4af9-9ac1-443f766c6c80"

# Authentication
user_client: EncordUserClient = EncordUserClient.create_with_ssh_private_key(
    ssh_private_key_path=SSH_PATH,
    # For US platform users use "https://api.us.encord.com"
    domain="https://api.encord.com",
)

project = user_client.get_project(PROJECT_ID)
workflow = project.workflow


ANNOTATE_ISSUES = [
    {
        "data_title": "cherries-010.jpg",
        "file_issue": {"text": "Annotate file issue 1", "tags": ["incorrect object", "label too large"]},
        "coordinate_issue": {"frame": 0, "x": 0.5, "y": 0.5, "text": "Annotate coordinate issue 1", "tags": ["incorrect object"]},
    },
    {
        "data_title": "cherries-vid-001.mp4",
        "file_issue": {"text": "Annotate file issue 1", "tags": ["incorrect object", "label too large"]},
        "frame_issue": {"frame": 0, "text": "Annotate frame issue 1", "tags": ["incorrect object"]},
        "coordinate_issue": {"frame": 0, "x": 0.5, "y": 0.5, "text": "Annotate coordinate issue 1", "tags": ["incorrect object", "label too large"]},
    },
]

REVIEW_ISSUES = [
    {
        "data_title": "cherries-sequence",
        "file_issue": {"text": "Review file issue 1", "tags": ["incorrect object"]},
        "frame_issue": {"frame": 3, "text": "Review frame issue 1", "tags": ["label too large"]},
        "coordinate_issue": {"frame": 0, "x": 0.3, "y": 0.3, "text": "Review coordinate issue 1", "tags": ["incorrect object", "label too large"]},
    },
    {
        "data_title": "cherries-ig",
        "file_issue": {"text": "Review file issue 1", "tags": ["incorrect object", "label too large"]},
        "frame_issue": {"frame": 2, "text": "Review frame issue 1", "tags": ["incorrect object", "label too large"]},
        "coordinate_issue": {"frame": 0, "x": 0.3, "y": 0.3, "text": "Review coordinate issue 1", "tags": ["incorrect object", "label too large"]},
    },
    {
        "data_title": "cherries-004.jpg",
        "file_issue": {"text": "Review file issue 1", "tags": ["incorrect object", "label too large"]},
        "coordinate_issue": {"frame": 0, "x": 0.3, "y": 0.3, "text": "Review coordinate issue 1", "tags": ["incorrect object", "label too large"]},
    },
]

# Annotate stage
annotate_stage = workflow.get_stage(name='Annotate 1', type_=AnnotationStage)
for issue in ANNOTATE_ISSUES:
    data_title = issue["data_title"]
    task = next((t for t in annotate_stage.get_tasks() if t.data_title == data_title), None)
    if not task:
        print(f"[Annotate] Task not found for: {data_title}")
        continue

    print(f"Processing Annotate Task: {data_title}")
    task.assign('chris-encord@acme.com')

    task.issues.add_file_issue(issue["file_issue"]["text"], issue["file_issue"]["tags"])
    if "frame_issue" in issue:
        fi = issue["frame_issue"]
        task.issues.add_frame_issue(fi["frame"], fi["text"], fi["tags"])
    ci = issue["coordinate_issue"]
    task.issues.add_coordinate_issue(ci["frame"], ci["x"], ci["y"], ci["text"], ci["tags"])

    label_row = project.list_label_rows_v2(data_hashes=[task.data_hash])[0]
    label_row.initialise_labels()
    box_object = label_row.ontology_structure.get_child_by_title("BoundingBox", type_=Object)
    box_instance = box_object.create_instance()
    box_instance.set_for_frames(
        coordinates=BoundingBoxCoordinates(height=0.1, width=0.1, top_left_x=0.5, top_left_y=0.5),
    )
    label_row.add_object_instance(box_instance)
    label_row.save()

    task.submit()

# Review stage
review_stage = workflow.get_stage(name='Review 1', type_=ReviewStage)
for issue in REVIEW_ISSUES:
    data_title = issue["data_title"]
    task = next((t for t in review_stage.get_tasks() if t.data_title == data_title), None)
    if not task:
        print(f"[Review] Task not found for: {data_title}")
        continue

    print(f"Processing Review Task: {data_title}")
    task.issues.add_file_issue(issue["file_issue"]["text"], issue["file_issue"]["tags"])
    if "frame_issue" in issue:
        fi = issue["frame_issue"]
        task.issues.add_frame_issue(fi["frame"], fi["text"], fi["tags"])
    ci = issue["coordinate_issue"]
    task.issues.add_coordinate_issue(ci["frame"], ci["x"], ci["y"], ci["text"], ci["tags"])

    for label_review in task.get_label_reviews():
        label_review.reject(comment='Rejected due to issue', issue_tags=ci["tags"])  # Or use any tag set you prefer

    task.reject()