Change review assistants
Bots that review pull requests against your standards and flag risky infrastructure changes for human attention.
Agentic CI/CD with AI Agents
AI agents in your pipelines, with humans approving what ships.
Overview
Why it matters
Pipelines generate a constant stream of repetitive work: reviewing routine changes, triaging failed builds, chasing flaky tests and preparing dependency updates. AI agents are good at this kind of work, provided they operate inside clear boundaries.
We build agentic CI/CD workflows on Claude Code where the agent proposes and a human approves. Agents open pull requests, explain failures and draft fixes, using scoped credentials and review gates you control.
At a glance
- Best for
- Teams that want AI to reduce toil in CI/CD without giving it unchecked access to production.
- Tools we use
- Claude Code
- GitLab CI
- GitHub Actions
- Terraform
- Kubernetes
What we do
How we help
Failure triage
Agents that read failed pipeline logs, identify likely causes and comment on the run with evidence.
Fix proposals as pull requests
Agents draft fixes and upgrades as ordinary pull requests that go through your normal review.
Scoped permissions
Least-privilege tokens and read-only defaults, so an agent can only do what you explicitly allow.
Approval gates and audit trail
Every agent action is logged and visible, and production-affecting changes always require a human approval.
Evaluation and tuning
We measure usefulness, false positives and time saved, then refine prompts and workflows accordingly.
Deliverables
What you get
Everything is handed over in your repositories and documented, so your team can run and extend it independently.
- Agent workflow design and threat model
- Pipeline integrations for review and triage
- Permission and secrets configuration
- Audit logging and approval flow
- Documentation and team playbook
How we work
A clear path from audit to operations
- 01
Assess
We review your architecture, pipelines, cost, reliability and security posture, then deliver prioritized findings.
- 02
Design
We define the target platform, IaC modules and deployment standards, matched to your team and your roadmap.
- 03
Automate
We implement Terraform, GitOps, CI/CD and agent-assisted workflows, with review gates at every step.
- 04
Operate
We set up observability, upgrades and runbooks, then hand over knowledge so your team stays in control.
FAQ
Common questions
Can the agent deploy to production on its own?
Not by default. Agents propose changes as pull requests, and production-affecting actions require human approval. We design the gates with you.
How do you keep credentials safe?
Agents get short-lived, narrowly scoped access, and secrets are never placed in prompts or repositories.
Does this only work with Claude Code?
Our implementation experience is with Claude Code. The review-gate and permission design applies to any agent tooling.
Related services
Often paired with
Let’s build your platform
Tell us about your stack and where it hurts. We will reply with how we would approach it.