AI in the software development workflow
I embed AI agents and tools into the SDLC: repo context, specs, checks, and human review.
For engineering teams that want speed without quality loss — and without everyone inventing their own prompts.
About the service
AI helps in development when there is a process around it: clear code context, shared specs, automated quality gates, and mandatory human control of changes.
Teams need this when they already try Cursor-like tools but see no stable effect, or fear risks to code and review. We set up workflows, not one-off demos.
The outcome is a repeatable way to run tasks with AI — from brief to verification — with clear ownership points.
Why it works
SDLC, not toys
Tools sit inside the existing cycle: branches, review, CI.
Repository context
Agents lean on project structure, rules, and current specs.
Quality under control
Typecheck, lint, tests, and human review stay mandatory gates.
What's included
SDLC audit
How work, review, and releases run today — and where time is lost.
Repository prep
Agent rules, context layout, branch and PR conventions.
AI tooling integration
Environments and scenarios tuned to your stack.
Agent orchestration
Agent roles, step handoffs, and action limits.
Specs and briefs
Brief formats so AI and people read the same thing.
Quality gates
Automated checks and criteria without which changes do not merge.
What you get
- A documented, adopted AI-assisted workflow
- Config/rules for tools and agents
- Quality gates in CI or local hooks
- Task brief and review templates
- A short team playbook
Ready to discuss — send a short note about the outcome you need.
How we work
- 01
Diagnosis
Review current process, repository, and bottlenecks.
- 02
Flow design
Where AI helps, where only humans act, which checks are mandatory.
- 03
Adoption
Tool setup and a pilot on real tasks.
- 04
Stabilization
Team training, rule tweaks, and success criteria.
Technologies
Cursor / AI IDE
Day-to-day AI-assisted development
CI checks
Typecheck, lint, tests as gates
Agent skills / rules
Repeatable agent instructions
Git / PR flow
Controlled change delivery
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 Below are the factors that drive cost; I do not publish fixed prices without discussing the task.
- Team size and number of repositories
- Maturity of current CI and processes
- Depth of custom agents and skills
- Whether a multi-product pilot is needed
- Security requirements for code and secrets
FAQ
Is this Cursor training or process redesign?
Both as needed — the goal is a durable process. Training without rules fades quickly.
Will AI lower code quality?
It can if you drop review and checks. We strengthen gates and keep human review mandatory.
Does it work for a legacy monolith?
Yes — often the effect is higher there: agents need explicit context and limits. Complexity is assessed in the audit.
How is this different from an AI tooling audit?
Audit is diagnosis and a plan. This service adopts a working flow in the team.
How long does adoption take?
A pilot can start quickly; stabilization depends on team size and repo count. I estimate after diagnosis.
Related services
Shall we discuss your project?
Tell me about the task. I will review the requirements and suggest a suitable approach.
