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CircleCI Pipelines That Cut Build Time by 97%

Build cloud CI/CD with parallel execution, smart test splitting, and Docker caching to accelerate feedback loops without managing infrastructure.
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Slow builds block developer productivity

Waiting 20 minutes for test results means developers context-switch to other work, losing focus and momentum. Sequential test execution wastes time, and builds that don’t cache dependencies repeat the same work every run. We implement CircleCI with intelligent test splitting, parallel job execution, and Docker Layer Caching so your team gets feedback in minutes instead of hours without managing build infrastructure.

Our capabilities include:

Who we support

Long feedback loops slow development velocity as teams scale. We help organizations implement CircleCI workflows where tests run in parallel and caching eliminates redundant work.

Teams Waiting on Slow CI/CD

Your test suite takes 30+ minutes to run. Developers lose context while waiting for results, sequential execution wastes resources, and flaky tests require manual reruns. Slow feedback cycles mean bugs don't get caught until hours after commits.

Companies Managing Build Infrastructure

You maintain Jenkins servers that require updates, disk space management, and plugin compatibility testing. Ops teams spend time troubleshooting runner failures instead of improving delivery speed, and scaling capacity requires provisioning more hardware.

Organizations Using AI Code Generation

Your team uses AI code generation tools and needs validation that catches risky patterns before merge. Manual code review can't keep pace with AI output volume, and you need automated quality gates that verify generated code meets standards.

Ways to engage

We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.

Staff Augmentation

Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.

Retainer Services

Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.

Project Engagement

Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.

We'll spec out a custom engagement model for you

Invested in creating success and defining new standards

At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.

Pairin
Helping a Series B SaaS company refine and scale their product efficiently

Why choose Curotec for CircleCI implementation?

Our engineers configure CircleCI pipelines with intelligent test splitting and Docker Layer Caching to accelerate your builds. We integrate Orbs, optimize resource classes, and set up AI code validation gates for maximum efficiency. You get sub-10-minute feedback loops with parallel testing and automatic caching without managing infrastructure.

1

Extraordinary people, exceptional outcomes

Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration. 

2

Deep technical expertise

We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.

3

Balancing innovation with practicality

We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.

4

Flexibility in our approach

We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.

Speed-focused capabilities that eliminate CI/CD bottlenecks

Intelligent Test Splitting

Distribute tests across parallel jobs automatically so your suite completes in minutes instead of running sequentially for hours.

Docker Layer Caching

Reuse unchanged image layers across runs so builds skip redundant work and start from cached dependencies immediately.

Dynamic Resource Allocation

Scale compute resources per job requirements so resource-intensive tasks get more power while simple jobs use minimal credits.

AI Code Validation Gates

Validate AI-generated code automatically so risky patterns and flaky tests get caught before merging into production branches.

Orb-Based Workflow Integration

Integrate common tools through pre-built Orbs so you add AWS deployments or Slack notifications without custom scripting.

Cloud-Native Execution

Run pipelines on CircleCI's infrastructure so you eliminate server maintenance and scale capacity without provisioning hardware.

Integrations that accelerate CircleCI delivery

CircleCI Platform & Execution

Our engineers deploy CircleCI environments with resource classes, execution types, and credit optimization for cost-effective speed.

  • CircleCI Cloud — Fully managed SaaS platform with shared runners, Docker support, and up to 6,000 free minutes monthly
  • CircleCI Server — Self-hosted deployment providing infrastructure control, data sovereignty, and compliance for regulated industries
  • Resource Classes — Configurable compute tiers from small (1 CPU) to 2XL+ (80 CPU) matching job requirements to available power
  • Docker Executor — Container-based job execution with image layer caching and multi-stage support for fast, isolated builds
  • Machine Executor — VM-based execution providing full operating system access for jobs requiring kernel modifications or nested virtualization
  • macOS Executor — Native Apple hardware for iOS, macOS, and tvOS application development with Xcode toolchain support

Pipeline Configuration & Optimization

Curotec writes pipeline configs with parallelism, intelligent splitting, and workflow orchestration that minimize time and cost.

  • .circleci/config.yml — YAML configuration defining jobs, workflows, and executors with reusable commands and parameters
  • Workflows — Job orchestration with conditional execution, manual approval gates, and scheduled runs for complex delivery patterns
  • Parallelism — Automatic test distribution across multiple containers reducing suite runtime by splitting work evenly
  • Test Splitting — Intelligent distribution based on timing data ensuring balanced workload across parallel containers
  • Workspaces — Data sharing between jobs allowing artifacts to pass through workflow stages without external storage
  • Pipeline Parameters — Dynamic configuration inputs enabling conditional logic and environment-specific behavior

Caching & Performance Optimization

We implement caching strategies that eliminate redundant downloads and compilation, dramatically reducing cycle times for iterations.

  • Docker Layer Caching (DLC) — Image layer reuse across runs skipping unchanged layers for 50%+ faster Docker image construction
  • Dependency Caching — Storage of npm, Maven, pip, and gem packages avoiding repeated downloads on every execution
  • Cache Keys — Versioned cache invalidation using file checksums ensuring fresh dependencies when requirements change
  • Workspaces Persistence — Efficient artifact sharing within workflows without uploading to external storage systems
  • Build Artifacts — Storage of compiled binaries, test results, and deployment packages with 30-day retention
  • Test Results Storage — Historical test performance data enabling intelligent splitting and flaky test detection

Orbs & Reusable Components

Our teams leverage Orbs—reusable config packages—that integrate third-party services without writing custom integration scripts.

  • CircleCI Orbs Registry — Public marketplace with 1,000+ certified integrations for AWS, Azure, GCP, and development tools
  • AWS Orbs — Pre-built commands for S3 uploads, ECS deployments, and CloudFormation stack management
  • Kubernetes Orbs — Deployment automation for Kubernetes clusters with kubectl commands and Helm chart installations
  • Slack Orb — Notification integration sending status updates, approval requests, and deployment alerts to channels
  • Terraform Orb — Infrastructure-as-code execution with plan validation, approval workflows, and apply automation
  • Custom Orbs — Private organization-specific integrations shared across projects for standardized internal workflows

Testing & Quality Tools

Curotec configures testing frameworks, code quality scanners, and AI validation that catch issues before production deployment.

  • Test Insights — Analytics showing flaky tests, performance trends, and failure patterns with recommendations for improvement
  • AI Code Validation — Automated analysis of AI-generated code detecting risky patterns and quality issues in real-time
  • JUnit Integration — Test result parsing with failure tracking, timing analysis, and historical comparison dashboards
  • Code Coverage — Integration with Codecov, Coveralls, and SonarQube tracking test coverage across commits
  • Security Scanning — Vulnerability detection through Snyk, Aqua Security, and OWASP dependency checks
  • Performance Testing — Load testing integration with k6, JMeter, and Gatling for catching performance regressions

Deployment & Integration

We establish deployment workflows connecting CircleCI with cloud providers, registries, and monitoring platforms for complete delivery.

  • AWS Integration — Direct deployment to EC2, ECS, Lambda, and S3 with IAM role authentication and region targeting
  • Kubernetes Deployment — Automated rollouts to clusters with Helm charts, kubectl commands, and canary release strategies
  • Docker Registry — Image publishing to Docker Hub, ECR, GCR, and Azure Container Registry with automated tagging
  • Datadog Integration — Deployment tracking and APM correlation linking releases to performance metrics and error rates
  • GitHub Integration — Status checks on pull requests, commit deployments, and automated merge workflows
  • Jira Integration — Issue tracking with deployment visibility, release notes, and automated ticket transitions

FAQs about our CircleCI services

CircleCI is fully managed cloud infrastructure requiring zero server maintenance. Jenkins requires managing servers, updates, plugins, and storage. CircleCI offers intelligent test splitting and Docker Layer Caching built-in, while Jenkins needs custom configuration for similar capabilities.

We migrate existing CI/CD configs to CircleCI YAML, implement parallelism and test splitting, configure Docker Layer Caching, and integrate Orbs for deployments. Implementation includes optimizing resource classes for cost efficiency and setting up monitoring dashboards.

Speed improvements depend on current bottlenecks. Teams typically see 60-80% reduction in feedback time through parallel execution and caching. Test suites running 30 minutes can often complete in under 10 minutes with proper splitting and resource allocation.

Cloud works for most teams with managed infrastructure and instant scaling. Server provides control over data location and runner environments for compliance requirements. We help evaluate based on security mandates, data sovereignty needs, and existing infrastructure.

We right-size resource classes matching job requirements, implement aggressive caching to reduce compute time, and configure parallelism strategically. Credits get spent on high-value work while simple tasks use minimal resources. Most teams reduce monthly costs 30-40% through optimization.

Our engineers typically migrate initial pipelines and configure basic parallelism within the first week. Full implementation with test splitting, Docker Layer Caching, Orb integrations, and workflow optimization takes 3-4 weeks depending on existing pipeline complexity.

Ready to have a conversation?

We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.

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