PlatformOverviewSoftware CatalogSelf-serviceRole based access controlScorecardsWorkflow automationRoadmapIntegrations
SolutionsUnify AlertsCloud Resource CatalogOn-call and Incident ManagementPackage ManagementIaC for DevelopersMicroservice CatalogEphemeral EnvironmentsEphemeral Environments for DevelopersK8s & ArgoCD VisualizationKubernetes & ArgoCD visualization
ResourcesResource centerDocumentationInternal developer portal guide2024 state of internal developer portalsGlossaryEvents and webinarsLive demoNewsroomPort vs Backstage
BlogHow do other companies measure their AI Software Factory?Port Context Lake vs Glean Enterprise GraphDevin.ai: Software engineer vs. Full platform Why You Need an Incident Management Factory Line in Your AI Software FactoryHow to identify what to improve next in your AI software factoryHow to Evaluate a Software Factory Platform During a POCBuild vs Buy a Software Factory: How Platform Teams Should Make This DecisionHow to use decision models like Jev in software factoriesTop 6 Backstage Alternatives for 2026Port vs Factory: Which Platform Fits Your Software Factory?Accountability Model for AI in Engineering: You Cannot Blame the AgentSelf-Improving AI Software Factory: How Feedback Loops Make Agents Better Over TimeWhat Does Harness Do? Port vs Harness Buyer's GuideHow to turn engineering context into clear improvement priorities3 Software Factory Flows to Build First Your agents are only as good as the foundation they run onHow to Set Up a Software Factory: A Platform Engineering Guide!Port vs Warp.dev: Which AI Software Factory should you pick?Rovo Dev: Agent vs. FoundationPlatform Beaver: Running Port's Own SDLC on AI AgentsHow to Manage Agents and Skills in Your Software FactoryHarness Knowledge Graph vs Port Context LakeHow SPS Commerce built an AI Software Factory on PortTeamwork Graph vs Port Context LakeHow to design context for your AI software factoryHow we cut integration sync time by splitting the pipelineWhat does the JFrog Agent Skills Registry do? Key features, use cases, and alternativesScaling Agentic SDLC Without Losing ControlPort named in the 2026 Gartner® Innovation Insight: AI Software Factories reportHow Multi-Agent Orchestration Works in an AI-Native SDLCThe Software Factory Runs in the Cloud. Local Is the Exception.External Interfaces: build your own UI on top of PortResolve AI Alternatives: How to Choose Your Incident AI LayerHow to architect your context lake for self-healing incidentsPort's business context, now native to GitHubProduct release notes - August 2026Take AI Agents from Demo to Production with Port AI BuilderThe Plugins Library: Built by the Team, for the CommunityWhat does Tessl do? Key features and where it fitsHow Platform Engineering Makes Loop Engineering Safe to Scale Across the OrganizationPort vs. Jellyfish: Which approach to Engineering Intelligence is right for you?Claude Managed Agents Explained: How They Work and Where They Fit in Your SDLCAgent Harness vs Platform Harness and Why Engineering Teams Need BothWhat Does DX Do? Key Features, Use Cases, and AlternativesWhat Is an Agentic Software Engineering Platform?Bring your Claude and Cursor coding agents into PortFine-grained permissions: control who builds what in PortGetting started with AgentOps: How to let developers create agents safely?AI Skills are easy to create. Understanding their value is harder.What Is Bmad? Understanding the Bmad Loop and how to scale ItImplementing the Anthropic AI-Native SDLC Playbook: What do you need to get there?Port Workflows is generally available: Orchestrate agentic workflows, approvals, and automations across your SDLCWhat does Xirp do? Key features, use cases, and alternativesProduct Release Notes - July 2026 How HoneyBook uses Port to serve engineering & agents across the AI SDLC?Introducing the Port plugin for coding agentsEnforcing engineering standards with AI agentsBuild a live dashboard for Cursor and Copilot adoptionCursor usage flows now into Port’s context lakeContext engineering for AI agents: What actually worksHow to build an AI Software Factory: Roles, Workflows, ROI measurementStop measuring AI adoption in isolationThe future of engineering: Agentic engineering 2.0Port's integration catalog: 200+ tools to power your context lakeHow mature is your autonomous software development?Developer self-service forms are dead: stop maintaining the forms nobody fills out rightHow dLocal autonomously resolves 45% of engineering tickets with Port - driving 20% performance gains5 radical decisions that make you an AI native software development organizationWhy you need an MCP registry, and who should own itIntroducing Port AI Builder: the first vibe coding experience built for platform engineeringHow to build a context layer for your AI SDLCAgentic AI development tools: How to build your stackProduct release notes - June 2026AI SRE: Cut MTTR in Half with Autonomous Incident ResolutionPrivate pages: build your own views, no admin requiredDo you really need a human in every loop? What Is Harness Engineering? Definition, Types, and Examples in AI SDLCAgent Registry vs Agent Hub: Which one do you need?What are agentic workflows and how to build them in the AI software development lifecycleAI SDLC: A Practical Guide to SDLC AI AgentsResearch: How we cut AI token costs by 80% The Agentic SDLC: The Software Lifecycle, Rebuilt Around AgentsAgentic SDLC in practice: Insights from engineering leadersPractical AI in Platform Engineering: lessons from Port's latest meetupProduct release notes - May 2026Why every engineering org needs an agentic registryPort + Datadog: The Missing Layer in Self-Healing InfrastructureOpen finance in Latin America: What engineering teams need to knowNavigating the EU’s Digital Operational Resilience Act (EU DORA)Developer productivity: don't just measure it. Fix it.Which engineering metrics actually drive outcomes?Custom Widgets: Build Your Own UI Components inside PortHow to build a skills library for your engineering teamThe hidden technical debt of agentic engineeringWhat KubeCon EU 2026 tells about the state of AI and Platform EngineeringIntroducing Skills in PortBackstage is dead63 earnings calls. 0 engineering outcomes tied to AI.What is a service?Connect external MCP servers into Port
GlossariesThe Dark Software Factory: What It Is and How to PrepareAI SRESoftware Factory ArchitectureUnderstanding the Software Factory Model!AI MeasurementAgentOpsAgentic SDLCAI Software FactoryWhat is a governed AI agent?Software development lifecycle (SDLC)Context lakeDomain-integrated context engineering (DICE)Deterministic AIContext engineeringPrompt engineeringDeployment frequencyShift-left movementMean time to recoveryJQService-oriented architectureChange failure rateCode reuseLead time for changesInternal documentationOperational maturityInfrastructure as code (IaC)Site reliability engineeringInternal developer platformPlatform orchestrationCookiecutterSpotify BackstageEphemeral environmentsDomain-driven designSoftware engineering intelligence platformSoftware catalogC4 modelDeveloper self-serviceValue stream managementConfiguration Management Database (CMDB)Platform as a productInternal developer portalsDeveloper experiencePlatform engineeringTeam Topologies
