Customer story
How Hatched turned delivery friction into a repeatable engineering system
A practical AI workflow story, from engineering bottlenecks to a calmer delivery system the team could own.
01The friction
Engineering momentum was getting lost before work could begin
Slow setup, manual releases, repeated context switching
Hatched had a capable delivery team, but local setup, release checks, and handoffs were taking too much attention away from the work that mattered. The workflow needed less manual pushing and more repeatable momentum.
02The audit
Synced mapped the blockers across setup, CI/CD, review, and release
Discovery turned blockers into a practical build plan
The engagement started by making the hidden workflow visible. Synced traced the places where developer setup, review habits, release steps, and internal handoffs were creating friction for the team.
03The build
A cleaner delivery pipeline replaced the repeated manual steps
1 command to get new developers productive locally
Synced built a one-command local setup, tightened the CI/CD flow, and added AI-assisted quality checks around the existing engineering process. The work stayed practical, owned, and close to the tools the team already used.
04The rollout
The new system landed with the team, not just the codebase
Delivered in 2 days on-site with practical handover
The workflow was documented, explained, and handed over in a way the team could actually keep using. That meant clearer habits, less dependency on memory, and a delivery process that was easier for new developers to join.
05The result
Hatched kept the speed gains without losing control of the system
~70% less setup time and ~40% fewer manual release steps
The result was a faster, calmer engineering workflow: less setup drag, fewer manual release steps, and a stronger foundation for AI-assisted delivery checks that the team could continue to own.
01The friction
Engineering momentum was getting lost before work could begin
Hatched had a capable delivery team, but local setup, release checks, and handoffs were taking too much attention away from the work that mattered. The workflow needed less manual pushing and more repeatable momentum.
Slow setup, manual releases, repeated context switching
02The audit
Synced mapped the blockers across setup, CI/CD, review, and release
The engagement started by making the hidden workflow visible. Synced traced the places where developer setup, review habits, release steps, and internal handoffs were creating friction for the team.
Discovery turned blockers into a practical build plan
03The build
A cleaner delivery pipeline replaced the repeated manual steps
Synced built a one-command local setup, tightened the CI/CD flow, and added AI-assisted quality checks around the existing engineering process. The work stayed practical, owned, and close to the tools the team already used.
1 command to get new developers productive locally
04The rollout
The new system landed with the team, not just the codebase
The workflow was documented, explained, and handed over in a way the team could actually keep using. That meant clearer habits, less dependency on memory, and a delivery process that was easier for new developers to join.
Delivered in 2 days on-site with practical handover
05The result
Hatched kept the speed gains without losing control of the system
The result was a faster, calmer engineering workflow: less setup drag, fewer manual release steps, and a stronger foundation for AI-assisted delivery checks that the team could continue to own.
~70% less setup time and ~40% fewer manual release steps