Checkpoint Mode Skill
Overview
Implements selective autonomy - shorter bursts of autonomous work with feedback loops.
Research Source: "Use Agents or Be Left Behind" by Tim Dettmers
Philosophy
"More than 90% of code should be written by agents, but iteratively design systems with shorter bursts of autonomy with feedback loops." — Tim Dettmers, 2026
Problem with Perpetual Autonomy:
- Can waste resources on wrong approach
- No opportunity for course correction
- User feels disconnected from progress
Solution:
- Pause after N tasks or M minutes
- Generate summary of accomplishments
- Wait for explicit approval to continue
When to Use
Use Checkpoint Mode For:
- Novel projects where approach may need adjustment
- High-cost operations (expensive API calls, cloud resources)
- Learning phases where user wants to guide direction
- Regulated environments requiring audit trail
Use Perpetual Mode For:
- Well-defined PRDs with clear requirements
- Established patterns with high confidence
- Overnight builds where interruption isn't desired
- CI/CD pipelines requiring full automation
Configuration
# Enable checkpoint mode
LOKI_AUTONOMY_MODE=checkpoint
# Pause frequency
LOKI_CHECKPOINT_FREQUENCY=10 # tasks
LOKI_CHECKPOINT_TIME=60 # minutes
# Always pause after these phases
LOKI_CHECKPOINT_PHASES="architecture,deployment"
Checkpoint Workflow
[Work on 10 tasks] → [Pause] → [Generate Summary] → [Wait for Approval]
↓
[User reviews and approves]
↓
[Resume work]
On Checkpoint:
Generate Summary
# Checkpoint Summary ## Tasks Completed (10) - Implemented POST /api/todos endpoint - Added unit tests (95% coverage) - Set up CI/CD pipeline - ... ## Next Actions - Deploy to staging - Run integration tests - Security audit ## Resources Used - 15 minutes elapsed - 3 Haiku agents, 2 Sonnet agents - Estimated cost: $0.45Create Approval Signal
# System writes: .loki/signals/CHECKPOINT_SUMMARY_2026-01-14-10-30.md # User reviews and creates: .loki/signals/CHECKPOINT_APPROVEDWait for Approval
- Orchestrator pauses execution
- Monitors for approval signal
- Resumes when signal detected
Agent Instructions (Orchestrator)
When LOKI_AUTONOMY_MODE=checkpoint:
completed_tasks = load_completed_tasks()
tasks_since_checkpoint = completed_tasks - last_checkpoint_count
if tasks_since_checkpoint >= CHECKPOINT_FREQUENCY:
# Pause and generate summary
summary = generate_checkpoint_summary()
write_signal("CHECKPOINT_SUMMARY", summary)
# Wait for approval
log_info("Waiting for checkpoint approval...")
while not signal_exists("CHECKPOINT_APPROVED"):
sleep(5)
# Resume work
remove_signal("CHECKPOINT_APPROVED")
log_info("Checkpoint approved. Resuming work...")
last_checkpoint_count = completed_tasks
Comparison with Other Modes
| Mode | Best For | Approval Frequency | Use Case |
|---|---|---|---|
| Perpetual | Overnight builds | Never | Fully automated CI/CD |
| Checkpoint | Novel projects | Every 10 tasks | Learning new domain |
| Supervised | Critical systems | Every task | Production deployments |
Metrics
Track checkpoint effectiveness:
{
"checkpoint_id": "cp-2026-01-14-001",
"tasks_completed": 10,
"time_elapsed_minutes": 15,
"approval_time_seconds": 45,
"course_corrections": 0,
"user_satisfaction": "approved_without_changes"
}
Storage: .loki/metrics/checkpoint-mode/
References
references/production-patterns.md- HN production insights- timdettmers.com/use-agents-or-be-left-behind
Version: 1.0.0