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How To: Use Agent Profiles Efficiently
# How To: Use Agent Profiles Efficiently import VideoEmbed from '@components/VideoEmbed.astro'; Agent Profiles control how your coding agents behave in different contexts.\ They define what the agent can read, plan, or execute — and how much autonomy it has. To show how profiles change workflow, we’ll build an NFL Predictor App using two profiles: * Strategic Agent * YOLO Agent <VideoEmbed url="https://youtu.be/iD0R-8fY-tY?si=roCh6d78AuENAyFt" /> --- ### Strategic Agent Base Model: GPT-5\ Planning Model: Claude 4 Opus Configuration: * Apply code diffs → _agent decides_ * Read files → _always allow_ * Create plans → _always allow_ * Execute commands → _ask first_ When run: 1. The agent asks clarifying questions (e.g., _Do you want to scrape players and schedules?_) 2. Builds a detailed 14-step plan 3. Requests user input for environment variables It’s thorough and safe — but pauses often if you miss setup details. --- ### YOLO Agent Configuration: * Apply code diffs → _always allow_ * Read files → _always allow_ * Create plans → _never_ * Execute commands → _always allow_ This agent skips long planning.\ It builds the project quickly, skipping over optional validation and focusing on essentials: * Data ingestion * Player stats * Scoring calculation It avoids brittle endpoints and produces a working dataset fast — though with fewer checks. --- ### Comparing the Two | Trait | Strategic Agent | YOLO Agent | | --------- | ------------------- | ------------------ | | Planning | Detailed (14 steps) | Minimal (10 steps) | | Safety | High | Low | | Speed | Moderate | Very fast | | Ideal For | Production projects | Quick prototypes |Compare Strategic and YOLO agent profiles side-by-side to choose the right balance of planning, safety, and speed for your project.
Agent Profiles control how your coding agents behave in different contexts.
They define what the agent can read, plan, or execute — and how much autonomy it has.
To show how profiles change workflow, we’ll build an NFL Predictor App using two profiles:
- Strategic Agent
- YOLO Agent
Strategic Agent
Section titled “Strategic Agent”Base Model: GPT-5
Planning Model: Claude 4 Opus
Configuration:
- Apply code diffs → agent decides
- Read files → always allow
- Create plans → always allow
- Execute commands → ask first
When run:
- The agent asks clarifying questions (e.g., Do you want to scrape players and schedules?)
- Builds a detailed 14-step plan
- Requests user input for environment variables
It’s thorough and safe — but pauses often if you miss setup details.
YOLO Agent
Section titled “YOLO Agent”Configuration:
- Apply code diffs → always allow
- Read files → always allow
- Create plans → never
- Execute commands → always allow
This agent skips long planning.
It builds the project quickly, skipping over optional validation and focusing on essentials:
- Data ingestion
- Player stats
- Scoring calculation
It avoids brittle endpoints and produces a working dataset fast — though with fewer checks.
Comparing the Two
Section titled “Comparing the Two”| Trait | Strategic Agent | YOLO Agent |
|---|---|---|
| Planning | Detailed (14 steps) | Minimal (10 steps) |
| Safety | High | Low |
| Speed | Moderate | Very fast |
| Ideal For | Production projects | Quick prototypes |