Illustrated scenario: tightening review cycles with nala

Halcyon adopted nala's Epic Mode to structure every feature as a spec-first workflow. Before any agent wrote code, the team defined the feature as an Epic with clear acceptance criteria, file-level scope, and test expectations. Agents then worked ticket-by-ticket, each one scoped to a single, reviewable change.

The team configured nala's multi-agent mode to pair a builder agent with a reviewer agent. The builder wrote the implementation; the reviewer checked it against the spec and ran the test suite. Only PRs that passed both checks reached a human reviewer.

nala's analytics dashboard gave the team full visibility into agent performance: which agents were most accurate, which file paths had the most churn, and where specs needed more detail. This data-driven approach let them continuously refine their prompts and specs.

“We went from 3-4 review rounds per PR to 1. Our regression rate dropped to zero over 200 PRs. nala's spec-driven workflow didn't just improve our agents. It improved how our whole team thinks about feature scope.”

After 6 months with nala, Halcyon's review cycles dropped from an average of 3.2 rounds to under 1. The team shipped 200+ PRs with zero production regressions, and their mean time-to-merge fell from 5 days to 18 hours. The spec-first workflow also improved human-written code quality, as engineers adopted the same structured approach for their own PRs.