Sinawy: Rethinking how software gets built.

An evolving AI-native software engineering operating model combining autonomous agents, structured workflows, quality gates, and human oversight.

1–30 October 2026

509
work items delivered
16
repositories
18 min
median machine time per item

Observed operational results from Sinawy’s own ledger for 1–30 October 2026, not a controlled benchmark. Delivered means deployed and witnessed, not yet accepted by a person. Machine time includes failed attempts.

Explore an execution example

Sinawy is an operating model under development, not a product. Work starts as a card on a board. Each stage has to return a checked result before the next one runs. The stage that verifies never wrote the code, and the deployed commit is witnessed before anyone is told it shipped.

118
items sent back by an independent stage before delivery. The gates catching faults.
39
items returned for more work after delivery. A floor, because human checks can lag.

Where it stops. Browser checks run on a local build; after the deploy, Sinawy checks commit, health and pipeline. Verification is only as good as the criteria a person wrote.

One item, as the ledger recorded it
StageModelSeconds
triagehaiku263
specopus530
planopus87
implementgpt-5.6-sol481
reviewsonnet19
verifyopus452
closeouthaiku24
delivery—4
writeback—0
Item 1643 on Sinawy’s own repository, 30 October 2026. Seconds of machine time per stage. One execution, not a typical one. Models are chosen per stage and task; across this period the ledger mainly records Opus, Sonnet, Haiku and GPT-5.6 Sol.