Improve the system that ships software.
Installing coding tools is easy. Changing the way a team delivers products is not. A responsible pilot targets a real bottleneck and measures whether the change helps.
Does the workflow change improve the system that ships?
Test one real bottleneck with a team that can sustain the change. Compare delivery and quality with the starting point before deciding what to adopt.
The engagement at a glance
- When it fits
- An established engineering team wants to evaluate AI-assisted delivery without loosening quality or security.
- Bring to the work
- One real bottleneck and a suitable codebase
- A participating team with capacity to sustain changes
- A baseline, acceptance process and repository/security policies
- Leave with
- A bounded workflow pilot, context and agent controls, training tied to actual work and a comparison report with limitations.
- Decision authority to agree
- The client team retains repository, security and release authority and decides which practices to adopt.
- Stop or reframe
- Choose engineering delivery for outsourced product development. Stop or redesign a pilot that increases unacceptable quality or security risk.
Change one workflow. Keep the feedback loop intact.
Establish the baseline
Record the bottleneck, roles, starting delivery/quality measures and success criteria.
Bound the agent workflow
Set repository context, permissions, tools and test/review requirements.
Run real work
Use the agreed codebase and acceptance process; record friction, failures and rework.
Compare & decide
Explain observed changes, limitations and what to adopt, revise or stop.
Read speed beside the cost of change.
Cycle time
Compare the agreed delivery boundary with the baseline.
Check whether work became smaller or less demanding.
Review & rework
Inspect review burden, repeated correction and defect escape.
Faster code generation may move effort into review.
Security & quality
Inspect security findings and the agreed test/acceptance evidence.
A faster workflow does not justify relaxed controls.
Developer experience
Record the team's friction, understanding and ability to sustain the process.
A short trial cannot establish every long-term effect.
Keep authority with the engineering team.
- What may the agent read, change and execute?
- Which repository context is authoritative?
- What requires human review and approval?
- Who can change permissions or stop the pilot?
Adopt the supported change. Report the limits.
The useful output is a recommendation grounded in the observed work: continue, revise or stop. Compare quality, security and delivery together; do not turn a bounded pilot into an unproven productivity multiplier.
The full argument for a measured team pilot
For CTO, VP Engineering, CPO
The situation behind the request
Engineering spends more time on tests and review than desired, while product managers prepare specifications that agents misunderstand. The team wants to evaluate AI assisted development without loosening security or quality.
Where the obvious solution falls short
Workshops and prompt libraries alone rarely change outcomes. Without an actual repository and acceptance process, the exercises remain abstract.
How we would approach the work
Agree a suitable codebase and baseline, map current roles, set context and agent controls, conduct a bounded live pilot and compare delivery/quality against the starting point.
What the engagement may include
- Baseline and success criteria.
- Agent permissions, context, tool and repository policy.
- Pilot workflow, test/review process and training tied to real work.
- Results report with recommendations and limitations.
The choices worth making explicitly
This engagement is for teams with enough engineering capacity to sustain the changes. Organizations seeking outsourced product development should commission engineering delivery instead.
What we would test before calling it ready
Review defect escape, code review burden, developer experience, security findings, cycle time and rework. Do not claim unproven 10x productivity.
A sensible first step
Identify one real delivery bottleneck, and define the engineering team that can run the pilot.