AI development audit and team acceleration
I diagnose the development process and repository, then propose a practical plan to adopt AI tools and quality gates.
For engineering leads and founders who want to see where the team loses time — and how AI can help without chaos.
About the service
The audit answers: which SDLC bottlenecks exist, how ready the repo is for AI-assisted work, which tools you already have, and what is missing for safe acceleration.
It helps before large-scale agent adoption or when AI experiments fail to produce predictable results. You get a concrete plan and priorities — not abstract advice.
We also look at change checks: typecheck, lint, tests, review — without them, speed becomes more defects.
Why it works
Bottleneck map
See where time goes into waiting, routine, and manual checks.
AI readiness
Assess repo context, rules, and risks to code and secrets.
Practical plan
Priorities for agents, skills, and quality gates.
What's included
Process analysis
How work moves from brief to release, and where it stalls.
Tools and repository
Stack, CI, docs, conventions, current AI practices.
Bottlenecks
Repeatable manual steps that are automation candidates.
Agents and skills
Which agent roles make sense for you specifically.
Quality gates
Which checks are mandatory before and after AI changes.
Adoption plan
Stages, pilot, success metrics, and risks.
What you get
- SDLC and AI-readiness audit report
- Prioritized bottleneck list
- Tool and agent recommendations
- Quality-gate proposal
- Pilot plan for 1–2 teams/repositories
Ready to discuss — send a short note about the outcome you need.
How we work
- 01
Context gathering
Interviews plus process and repo review (with agreed access).
- 02
Diagnosis
Capture bottlenecks, risks, and quick wins.
- 03
Plan
Adoption priorities and pilot success criteria.
- 04
Team readout
Present findings and answer questions.
Technologies
CI / quality tooling
Base for safe acceleration
AI IDE / agents
Adoption candidates
Repo conventions
Context and rules for agents
Pricing and timeline
A precise estimate depends on scope and constraints. Below are the factors that drive cost; I do not publish fixed prices without discussing the task.
- Number of teams and repositories in scope
- Depth of access to process and code
- Whether adoption follow-up is needed
- Compliance and secrets complexity
FAQ
Does the audit include adoption?
The base outcome is diagnosis and a plan. Workflow adoption can continue as a separate service after priorities are agreed.
Do you need code access?
Preferred under NDA/access rules. Without a repository the assessment is thinner — we say so upfront.
How long does an audit take?
It depends on team and repo count. Timeline estimate comes after a short scope kickoff.
What if AI is not a fit?
Then the report states honest limits and alternatives: gates and process first, tools later.
How is audit different from AI-in-SDLC adoption?
Audit is understand and plan. Adoption configures the flow, agents, and checks in daily work.
Related services
Shall we discuss your project?
Tell me about the task. I will review the requirements and suggest a suitable approach.
