Repo-aware agent workflows
Agents work from real issues, code, tests, and release context instead of isolated prompts.
Field noteAgentic development
Use agents without losing engineering control.
CoderPush builds agent workflows around your repo, checks, and release path so teams get speed without unreviewed output.
01Scope
Where agents should help.
Engineering
Review loops that slow bad output
Product, architecture, QA, and release checks stay visible before agent work lands.
Evals for generated work
Acceptance checks make quality, risk, and completion easier to challenge.
Human approval paths
Senior engineers keep ownership of architecture, scope, and production decisions.
02Approach
Control stays in the loop.
Map the delivery loop
Find where implementation, review, QA, and release prep lose time.
Bound the agent work
Give agents a clear task, repo context, tests, and a reviewer path.
Ship with evidence
Attach PR notes, checks, screenshots, and escalation rules to the workflow.
03Proof
What makes the workflow credible.
Production AI discipline
Agent work gets the same eval, guardrail, and ownership patterns as production AI products.
Senior reviewer model
Agents increase throughput. They do not replace architecture and product judgment.
Repo-native execution
The work lives in code, tests, screenshots, and PRs, not workshop demos.
Next step
Bring us the delivery loop that is slowing down.
We will look at the repo context, review path, and production risk, then recommend the smallest useful agent workflow.