CI/CD Pipeline Services

auto_awesome Why CI/CD?

Ship Quality Code Faster and Safer

Continuous Integration and Continuous Deployment (CI/CD) is the backbone of modern software engineering. It allows teams to integrate code into a shared repository frequently, with automated builds and tests identifying issues early in the lifecycle.

At PixoBots, we design custom pipelines using GitHub Actions, GitLab CI, and Jenkins. We focus on shortening the feedback loop for developers, with automated checks so every change is built and tested before it reaches your production environment.

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Automated Testing

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Direct Deployments

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Code Quality Checks

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Rollback Automation

Automation

Continuous Flow

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What We Offer in CI/CD

Streamlining your delivery process with end-to-end automation.

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Pipeline Architecture

Designing complex multi-stage pipelines that handle builds, parallel testing, and deployments across environments.

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GitHub/GitLab Actions

Custom workflow engineering for native platform CI/CD, leveraging reusable actions and runners.

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Test Automation

Integrating unit, integration, and E2E tests (Cypress, Playwright) into the build lifecycle so quality is checked on every build.

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GitOps & IaC Integration

Automating infrastructure provisioning with Terraform or Pulumi directly from your CI/CD pipelines.

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Release Orchestration

Managing semantic versioning, changelog generation, and multi-cloud release synchronization.

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Pipeline Observability

Monitoring pipeline performance, identifying bottlenecks, and optimizing build times for faster developer feedback.

The Velocity Factor

Why Automate with PixoBots?

Reduce manual errors and move towards true continuous delivery.

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High Velocity

Shorten the time from code-complete to production-live.

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Early Bug Detection

Catch issues immediately after they are committed, before they reach your users.

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Team Confidence

Developers can merge code with confidence, knowing it has passed the automated test suite.

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Fast Rollbacks

Recover from production issues quickly with automated rollback to the last good release.

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Audit Trail

Keep a complete record of every change and deployment to support your compliance needs.

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AI-Augmented Engineers

Your dedicated engineer uses AI tools to draft workflows and reusable templates across your projects, and reviews every change before it runs.

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Measuring and Securing Your Delivery

A pipeline that runs is a start. A pipeline you can measure and trust is what lets a team ship often without fear.

Measure what actually improves

We help teams track the DORA metrics - deployment frequency, lead time for changes, change failure rate and time to recover from a failed deployment - from data your pipeline and incident tools already produce. The numbers are a baseline for your own progress, not a league table: they show whether slow reviews, flaky tests or manual approvals are the real bottleneck.

Artifacts you can trust

Build once, promote everywhere: the artifact that passed tests in staging is the one deployed to production, identified by its digest rather than a mutable tag. We pin third-party actions and plugins to exact versions or commit SHAs, generate build provenance, sign container images with tools such as Sigstore cosign, and can verify signatures at deploy time.

Monorepos and many services

In a monorepo, rebuilding everything on every commit wastes time and runner capacity. We use path filters and affected-project detection with build tools such as Nx, Turborepo or Bazel, plus shared reusable workflow templates, so each change builds and tests only what it touches while every service still follows the same standards.

Pixel & Bots

Pixel-perfect software, delivered at AI speed

PixoBots stands for Pixel & Bots. Our Bots are dedicated developers who work with AI tools: AI takes the repetitive work, a developer reviews every line, and the result is pixel-perfect.

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Polished UI and clean, tested code - detail is part of the job, not an afterthought.

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Dedicated developers who join your team and use AI for boilerplate, tests and documentation.

Savings

AI-assisted delivery can save more than 50% of development cost compared with traditional development.

How AI-augmented delivery works

Ready to Automate Your Delivery?

Build a reliable CI/CD engine with our DevOps experts. Let's accelerate your engineering team's output today.

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verified Pipeline Experts speed Reduced Lead Time security Secure Delivery

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Frequently asked questions

What is the difference between continuous integration, continuous delivery and continuous deployment? expand_more

Continuous integration automatically builds and tests every code change merged into a shared branch. Continuous delivery extends this so every passing change is packaged and ready to release with one approval. Continuous deployment goes one step further and releases every passing change to production automatically, without a manual approval step.

Which CI/CD tool should we use: GitHub Actions, GitLab CI, Jenkins or Azure DevOps? expand_more

The best CI/CD tool is usually the one built into where your code already lives. GitHub Actions suits repositories on GitHub, GitLab CI suits GitLab, and Azure Pipelines suits Microsoft-centred teams. Jenkins remains useful for self-hosted or highly customised needs but requires more maintenance. We work with all of them.

How long does it take to set up a CI/CD pipeline? expand_more

A standard pipeline for a single application, covering build, tests and deployment to one or two environments, can often be in place within a few days to two weeks. Larger setups with many services, multiple environments, infrastructure as code, approvals and security scanning take longer and are delivered in stages.

How do you keep pipelines and deployments secure? expand_more

We store credentials in the platform secret store or a vault rather than in code, prefer short-lived OIDC tokens for cloud access, limit pipeline permissions, require reviews on protected branches, and add dependency, container and secret scanning. Every deployment is logged, giving you an audit trail of who changed what and when.

Can you add CI/CD to an existing or legacy project? expand_more

Yes. We start by making the build reproducible and adding the tests that already exist, then automate packaging and deployment to a staging environment before production. Missing tests are added gradually around the most critical paths, so the pipeline delivers value early without waiting for complete test coverage.

Our pipeline is slow - how can you speed it up? expand_more

We first measure where the time goes, stage by stage. Common fixes are caching dependencies and Docker layers, running independent jobs and test shards in parallel, quarantining flaky tests until they are fixed, building only the projects a change affects, and using larger or self-hosted runners for heavy builds. Faster feedback matters because developers wait on every run.