Cole Medin reflects on the attention cost of parallel coding agents in this 16-minute video, then describes the workflow he is building to reduce supervision.
Faster output, more fragmented attention
- Multiple agents can work simultaneously while their human supervisor keeps switching problems.
- Medin misses four-hour coding sessions with music; his current day alternates among agents, content and course planning.
- Waiting for one agent creates pressure to open another, turning productivity gains into a higher expected workload.
- These are personal observations and anecdotes, with no measured productivity or attention study.
Spend the next improvement on autonomy
- A harness is the software around an agent that runs its tools, instructions and checks.
- Make that workflow handle longer tasks before adding more simultaneous conversations.
- Specify intent up front, then let the agent plan, implement and validate against project-specific requirements.
- Batch decisions and review completed work in staging, a test version of the application.
- A generic
/goalcommand still needs the working conventions and validation criteria that make delegation trustworthy.
The software-factory approach
- Medin’s open-source factory turns release planning into linked issues and supervised automated delivery.
- Keep human judgment concentrated at planning and acceptance, with more of the middle running in the background.
- Building the system costs output today; Medin expects that investment to reduce repeated interruptions later.
- He describes future day-long autonomy and one main planning conversation as a direction, not a reliability result established here.
Faster replies could help—but expectations still matter
- Fast responses in the main conversation could reduce the temptation to switch while waiting.
- Token-generation speed alone does not establish fast or correct end-to-end work.
- Medin acknowledges the counterargument: people may simply juggle several factories and recreate the same overload.
- His account leaves that behavioral problem open; greater automation does not guarantee less work.
“Our cognitive bandwidth doesn’t parallelize.”
Disclosure: the video includes a paid Revolut Business segment about agent spending controls. Its product assurances are the sponsor demonstration’s claims, not an independent security evaluation.