Scope: What This Guide Covers
This guide helps you allocate tasks between AI coding agents and human developers. If you're integrating AI coding tools into your development workflow, you need a systematic way to decide which tasks belong where. This framework is designed for security-focused development teams, DevSecOps workflows, and any environment where code quality and architectural decisions carry compliance weight.
You'll find specific guidance on categorizing tasks, recognizing allocation failures, and auditing your current split. This isn't about whether to adopt agents; it's about using them effectively once you have them.
Key Concepts and Definitions
Coding agent: An AI tool that generates, modifies, or reviews code based on natural language prompts or existing patterns. Examples include GitHub Copilot, Amazon CodeWhisperer, or custom LLM-based assistants.
Task allocation: The decision process that determines whether a specific development activity should be led by an agent, a developer, or a combination of both.
Feedback loop compression: Reducing the time between code changes and validation results. Circle CI's State of Software Delivery Report found that throughput bottlenecks most commonly appear in the feedback and validation loop, not the code-writing phase.
Context window: The scope of information an agent can process when making decisions. Unlike developers who understand organizational history and business constraints, agents work within a limited technical context.
Requirements Breakdown
Three-Tier Allocation Model
The framework uses three distinct tiers. Each tier defines who leads, who reviews, and where judgment enters the workflow.
Tier 1: Agent-Led, Developer-Reviewed
The agent produces the output; the developer validates it. This tier works for:
- Boilerplate code generation (CRUD operations, API endpoints)
- Test case expansion from existing patterns
- Documentation updates that follow established templates
- Dependency version bumps with automated compatibility checks
- Code formatting and style corrections
Your developer's role here is quality gate, not author. They're checking for edge cases the agent missed, not rewriting the implementation.
Tier 2: Agent-Assisted, Developer-Guided
The developer makes architectural decisions; the agent handles mechanical execution. This tier applies to:
- Refactoring existing code to new patterns
- Implementing security controls where the approach is defined but the details vary
- Writing integration tests where test strategy is set but coverage needs expansion
- Migrating code between frameworks when the target architecture is known
The developer specifies the "what" and "why." The agent executes the "how."
Tier 3: Developer-Led, Agent-Supported
The developer owns the work; the agent provides reference material or catches errors. Reserve this tier for:
- Threat modeling and security architecture decisions
- Compliance control design (particularly for PCI DSS v4.0.1 or SOC 2 Type II requirements)
- Authentication and authorization logic
- Cryptographic implementations
- Incident response code changes
- Performance-critical code where trade-offs matter
The agent might suggest approaches or identify vulnerabilities, but it doesn't drive the solution.
Implementation Guidance
Categorizing New Work
When a task enters your backlog, ask three questions:
Does this require business context beyond the current codebase? If yes, it's Tier 3. Agents can't weigh regulatory implications or understand why your authentication flow has specific quirks.
Is the pattern already established in your codebase? If yes and the task is applying that pattern to new areas, it's likely Tier 1. If you're adapting the pattern, it's Tier 2.
What's the blast radius if this goes wrong? High-impact areas (authentication, data handling, security controls) default to Tier 3 even if the pattern is established.
Starting with Existing Workflows
You don't need to redesign your entire process. Start by identifying your most repetitive tasks. Consider a team that writes the same database access patterns across dozens of microservices. That's Tier 1 work. Let an agent generate it, and have a developer spot-check for SQL injection risks or missing input validation.
Next, find your highest-context work. If you're implementing Requirement 6.2.4 (automated mechanisms to detect and prevent web-based attacks), that's Tier 3. The agent can suggest WAF rules or show you OWASP ASVS v4.0.3 verification requirements, but your security engineer needs to design the control.
Measuring Allocation Effectiveness
Track two metrics:
Rework rate by tier: How often does Tier 1 work come back for fixes? If it's high, you're either using agents for tasks that need more judgment, or your review process isn't catching issues.
Developer time distribution: Are your senior engineers spending significant time on Tier 1 tasks? That's a resource allocation problem, not a capability problem.
Common Pitfalls
Pitfall 1: Using Agents for Compliance-Critical Decisions
Agents can reference compliance requirements, but they can't assess whether your implementation actually satisfies the control. If you're addressing PCI DSS v4.0.1 Requirement 11.6.1 (detecting changes to HTTP headers and contents), the agent might generate monitoring code, but your security engineer must verify it covers the attack vectors that matter in your environment.
Pitfall 2: Manual Execution of Tier 1 Work
If developers are hand-writing test cases that follow existing patterns, you're burning time. The cost isn't just the hours; it's the opportunity cost of not working on Tier 3 problems that require human judgment.
Pitfall 3: Insufficient Review of Agent Output
Treating agent-generated code as trusted by default creates security debt. Even Tier 1 work needs review, particularly for injection vulnerabilities, hardcoded secrets, or logic errors that agents miss.
Pitfall 4: Rigid Tier Assignments
A task's tier can shift. The first time you implement a security control, it's Tier 3. After you've established the pattern and documented the approach, subsequent implementations might be Tier 2 or even Tier 1.
Quick Reference Table
| Task Type | Tier | Agent Role | Developer Role | Review Depth |
|---|---|---|---|---|
| CRUD endpoint generation | 1 | Generates code | Reviews for edge cases, security | Spot-check |
| Security control implementation | 3 | Suggests references | Designs and implements | Full review |
| Test expansion from patterns | 1 | Writes test cases | Validates coverage | Automated + spot |
| Threat model creation | 3 | Provides attack references | Creates model | N/A (developer-owned) |
| Code style fixes | 1 | Applies fixes | None (automated check) | Automated only |
| Refactoring to new framework | 2 | Executes changes | Defines target architecture | Thorough review |
| Cryptographic implementation | 3 | Shows library examples | Implements with context | Security-focused |
| Documentation from templates | 1 | Generates docs | Reviews accuracy | Light review |
| Authorization logic changes | 3 | Identifies affected code | Designs and tests changes | Full security review |
Your allocation decisions aren't permanent. Review quarterly, adjust based on what's working, and shift tasks between tiers as your team's patterns mature.
