Spec-driven feature development with AI agents
The feature that keeps slipping, specified once, built in parallel
Big features stall twice: once when nobody agrees what “done” means, and again when the work queues behind one team. Agents write the spec with you, split it into a task graph, and build the independent parts side by side.
Draft a feature spec from your idea and codebase
Rework often starts with a requirement nobody wrote down. The agent reads the code the idea touches, drafts the spec with acceptance criteria and edge cases, and lists every open decision as a question for the product owner.
“Let customers be invoiced in their own currency.”
Split a feature into tasks that can run in parallel
Big features run slowly because they run in one lane. The approved spec becomes a graph of small tasks. Everything that can run at once does, each task in its own sandbox, and the next wave starts once your team merges its inputs.
Estimate task effort and usage cost during planning
Every task is sized from the code it touches, with an effort estimate and an estimated usage cost (provider cost + 10% platform fee). Pick the tickets for a release and see the total against your team budget, so scope is decided at planning, not cut in a panic in week six.
How Omar plans a multi-currency feature
Illustrative example, not a customer result.Here is what the work looks like today, and what changes when an AI team takes the busywork off the plate.