Brifing

The Right Balance of Specification in Agent Development

The importance and cost balance of specification for AI agents.

O'Reilly Radar1 min

1The Importance of Specification

In developing AI agents, having the right amount of specification is crucial. Too little leads to endless correction loops, while too much incurs high initial costs.

2The Cost of Specification

A simple prompt may seem attractive to start implementation immediately, but correction loops increase costs. The right amount of specification balances these costs.

3The Ideal Balance of Specification

For most agent work, the ideal specification should have enough structure to constrain the work, enough examples to make intent concrete, and enough executable checks to prevent guesswork.

4The Lack of Specification

Completely lacking specification leads to costly vibe-coding. This does not resolve ambiguity but complicates the process further.

5Specification in Software Engineering

Software engineering is less about coding and more about deciding what should exist, what should never happen, and which trade-offs matter.

6Agents and Specification

Agents reduce implementation costs while increasing the importance of specification. Vague requirements encounter machine speed instead of human slowness.

7Reviewing Specification

Writing the specification is not enough. Reviewing it and ensuring internal consistency prevents errors in the implementation process.

8Validating Specification

Validating the specification is a critical step before implementation. It reveals gaps and inconsistencies in the specification.

9Multi-Agent Systems

In multi-agent systems, when one agent's output becomes another's input, interpretive drift accumulates. This requires stronger specification.

10Specification and Contracts

In multi-agent systems, specification becomes more than guidance—it becomes a contract. This contract must include schemas, invariants, and validation rules.

11BDD and Executable Tests

BDD and executable acceptance tests go beyond methodology; they enhance the verifiability of the specification and prevent errors.

12Conclusion

Agents do not eliminate the need for specification. Instead, they make it cheaper to reach a level of specificity that is actually useful.

Original article: O'Reilly Radar — Agent Geliştirmede Doğru Spesifikasyon Dengesi