Why Piyaz

Coding agents are good at the work and bad at everything around it. They forget what the last session built, they collide when you run more than one, and they skip the process a human team takes for granted: write the task down, agree on what done means, plan before coding, review before merging. Piyaz supplies the part the model does not carry on its own.

Memory

A fresh agent starts cold. Piyaz holds the project's history outside any one context window: every task, its status and acceptance criteria, the decisions made, what was tried and abandoned, and a record of what each finished task actually built. The next agent reads that record instead of re-deriving it, so the project gets more informed as it grows, not more confused. See Context network and Execution records.

Collaboration

Piyaz is one shared source of truth that people and agents both read and write. A human plans, an agent implements, a second agent reviews, and the next session picks up exactly where the last one stopped. Dependency edges carry agent-to-agent briefs, so the handoff between two tasks happens through the graph rather than through a person relaying context by hand. People and agents work the same board.

Orchestration

Work has an order, and Piyaz keeps it. The task graph knows which tasks are ready, which are blocked, and which sit on the critical path. From there you can hand a single task to composer to run research through review end to end, or fan independent ready tasks out to parallel agents without them colliding.

A real engineering process, for agents too

The discipline a strong team relies on, a written task, clear acceptance criteria, a plan before code, a review and a PR before merge, a human who approves the result, is exactly what an agent skips when left alone. Piyaz makes that process the default and applies it to agent-driven work as strictly as to human work. The agent does not promote its own work to done; it lands at in_review, and a human stays on the loop to approve.

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