Use case
From the field, AI native workflow redesign of spec-to-code process within Engineering Productivity Software Engineering function.
Get the playbookA senior Convolving delivery team partnered with the engineering productivity function for one sprint. Operators from our expert network – with forty combined years inside enterprise platform engineering and developer experience – reviewed the redesign at each checkpoint. Forward-deployed engineers built inside the team's Jira, GitHub, CI, and security stack. One flat fee, artifact out, no retainer creep.
Today a Jira ticket goes to an engineer who drafts a spec, codes it, writes tests, and opens a PR. The spec lives in their head as often as in a doc.
Cognition's Devin and Anthropic's Claude Code, together with Cursor and Windsurf, run the loop end-to-end on bounded tickets. The engineer's role shifts from implementation to spec validation and review. The McKinsey value pool ranks software engineering top-four; the bottleneck moves from typing to specification, with senior reviewer time as the new constraint.
Click any node to see the activities and tools behind it. Open the canvas in fullscreen for the horizontal view.
Implementation, tests, and review run sequentially on each ticket. Engineers context-switch through the cycle.
Some engineers write a spec; some hold it in their head. Edge cases land in production rather than in tests.
Even strong engineers run linearly through the queue. Throughput scales with headcount, not with leverage.
Same five steps. Click any node to see what the redesign does in that step.
The redesign above ships as a step-by-step playbook. Structured ticket template, spec drafting prompts, agent guardrails, test-from-spec rule library, and the rollout cadence we use on engagements.