Integrations
Integrations
ARCOS supports modular, configurable integrations to suit individual developers, DevOps engineers, and enterprises—letting you pick how ARCOS interacts with your existing processes.
Version Control Systems
GitHub
App/Webhooks: Listen for PRs, commits, or tags; trigger Agents (e.g., CodeSynth).
Checks API: Annotate diffs inline, suggest or auto-apply fixes.
GitLab
CI Integration: Runs as a pipeline stage for test generation (TestGenius), scans, or DocSavvy documentation.
Push Hooks: Auto-trigger Agents on new commits.
Bitbucket
Pipelines: Insert ARCOS Agents to test quality, scan for vulnerabilities, manage configs.
Pull Requests: ARCOS can comment or push doc/test updates.
Other Git
Self-Hosted: Point ARCOS to any repo via SSH/token.
SVN/Mercurial: Basic read support; full automation works best with Git.
CI/CD Pipelines
Jenkins
Custom Stages: Insert ARCOS tasks (e.g.,
stage('ARCOS TestGenius') { ... }
).Docker Containers: Run Agents in isolated, reproducible environments.
GitHub Actions
Workflow YAML: Add ARCOS actions (e.g.,
"arcos-analyze-code"
) in.github/workflows/*.yml
.Secrets: Securely store ARCOS keys in GitHub Secrets.
GitLab CI
.gitlab-ci.yml: Jobs can call ARCOS CLI/SDK.
Env Variables: Pass environment data to CodeSynth or PerfGuard.
Other CI Tools
CircleCI, TeamCity, Azure DevOps: Execute ARCOS CLI or Docker containers in standard pipelines.
Container Orchestration
Docker
ARCOS Agents ship as Docker images.
Spin up specialized Agents locally or in test envs.
Kubernetes
Helm Charts: For deploying ARCOS Core and Agents.
HPA: Autoscale Pods based on CPU/memory usage or queue length.
Docker Swarm
Orchestrate ARCOS microservices with minimal changes.
Other Orchestrators
Nomad/Mesos: Any container-based environment can host ARCOS Agents.
Cloud Environments
AWS
Deploy on EC2, ECS/Fargate, or EKS; integrates with Comprehend/SageMaker if desired.
Azure
Run on AKS or Container Instances; tie logs/metrics into Monitor or App Insights.
Google Cloud
Use GKE; synergy with Vertex AI for advanced ML deployments.
On-Prem / Private Cloud
Private data centers or air-gapped setups with internal-only Agent communication.
AI Providers
OpenAI
GPT-based refinements, natural-language docs.
Google AI
LLM synergy in CodeSynth/TestGenius; optional doc translation in DocSavvy.
IBM Watson
NLU for deeper code commentary or doc summaries; integrates with IBM Cloud.
Microsoft Azure AI
Cognitive Services for code insights/anomaly detection.
AWS ML Services
Comprehend/SageMaker for domain-specific bug detection or performance heuristics.
Vector Stores
FAISS
Dense vector indexing for repeated code patterns.
Annoy
Approximate nearest neighbors, ideal for large codebases.
Pinecone
Cloud-based vector DB with robust indexing.
Milvus
Scalable, open-source vector DB for billions of snippets.
Developer Tools & Collaboration
Slack
PerfGuard or EmailMaestro alerts to channels; slash commands to trigger ARCOS tasks.
Microsoft Teams
Push release notes, bug fix summaries, performance metrics.
Jira, Trello, Asana
Auto-create tasks for refactoring or bug fixes. Link ARCOS logs/coverage.
Sentry
ARCOS ingests error events, CodeSynth proposes fixes; TestGenius generates regression tests.
Plugin & Extension Model
Create Custom Agents: Domain-specific or specialized compliance checks.
Extend Existing Agents: Add language rules, custom checks, or synergy with proprietary tooling.
Community Marketplace (Roadmap): Future plugin ecosystem for niche Agents.
Example Integration Workflow
GitHub code push triggers a pipeline.
ARCOS CLI calls CodeSynth (refactors), TestGenius (test updates), PerfGuard (performance checks).
Slack notifies devs of pass/fail or changes.
InfraSage updates staging via Terraform.
DocSavvy posts doc changes to Confluence/GitHub Wiki, referencing the triggering commit.
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