# StackGen

> StackGen is the Agentic Operations Platform for DevOps, SRE, and infrastructure teams. Its AI agent, Aiden, works across infrastructure, SRE, and observability, running on top of the cloud, IaC, and observability tools you already use, and governed end-to-end (policy-enforced, audit-ready, SOC 2 / PCI / HIPAA) so it can act safely on your behalf. StackGen is the control plane that makes autonomous DevOps actually safe to run, across the tools, clouds, and teams you already have.

> This file contains the full content of StackGen's core pages, rewritten as clean markdown for AI tools.
> Companion map file (links only): https://stackgen.com/llms.txt
> Source site: https://stackgen.com
> Generated: July 13, 2026


## Key Facts

- Company: StackGen (formerly appCD), headquartered in the San Francisco Bay Area and globally distributed.
- Category: Agentic / Autonomous Operations Platform, one AI agent (Aiden) for SRE, Infrastructure, and Observability, plus CI/CD pipelines, FinOps, and compliance.
- What makes it different: agents act, not just alert. Every action runs through policy at runtime, with three operating modes (Advisory: recommends; Supervisory: acts on approval; Autonomous: acts within policy, humans audit).
- Stack-agnostic: runs on AWS, Azure, and GCP; Terraform, OpenTofu, and Helm; GitHub, GitLab, Jenkins, and Argo CD; Grafana, Prometheus, Loki, Jaeger, Datadog, and New Relic; PagerDuty, Slack, ServiceNow, and Jira; and IDEs including Cursor, Claude Code, VS Code, and Amazon Kiro via the Model Context Protocol.
- Recognition: Gartner Cool Vendor in AI for IT Operations, featured across four Gartner Hype Cycles, AWS Advanced Technology Partner, and Google Cloud Partner.
- Customers include Nielsen, InMobi, Autodesk, Chamberlain, SAP NS2, Piramal, Oro, Corcentric, GreytHR, and Innovaccer.
- Typical outcomes: 50% MTTR reduction and up to 90% less alert noise (SRE); 10x infrastructure velocity, 95% less IaC toil, and 100% policy-checked deploys (Infrastructure); 60%+ lower observability cost (Observability).
- Compliance and security: SOC 2, PCI, and HIPAA aligned, with a complete, queryable audit trail for every agent action.
- Original research: State of Reliability 2026, a data-backed analysis of 178,000+ status-page incidents and 1,037 engineering post-mortems. Headline finding: AI now accounts for 1 in 10 incidents, a 6x rise in three years.
- Leadership: Sachin Aggarwal (CEO and Co-Founder) and Arshad Sayyad (Co-Founder).
- Backed by Thomvest Ventures, WestWave Capital, FireBolt, and Secure Octane.

## Frequently Asked Questions

**What is StackGen?** An Autonomous Operations Platform. Its AI agent, Aiden, performs infrastructure and operations work teams do manually today, provisioning, incident response, remediation, cost optimization, and compliance enforcement, taking action within guardrails your team defines rather than only surfacing problems for a human to fix.

**Who is StackGen for?** DevOps, SRE, platform engineering, and infrastructure teams, and the engineering leaders who run them, especially organizations adopting AI-assisted development faster than their infrastructure and governance can keep up.

**How is StackGen different from AIOps or observability tools?** Most AIOps and observability platforms stop at detection, correlating alerts and creating tickets for humans. StackGen goes beyond detection to autonomous action: it remediates a drifted deployment or over-provisioned node rather than just flagging it, within policy and with a full audit trail.

**Do StackGen's agents take action without human approval?** You control the autonomy level, from human-in-the-loop approval for sensitive changes to fully autonomous execution for well-understood operations. Most customers start in recommend-and-approve mode and expand autonomy as trust builds. Every decision is logged.

**We already use Terraform, Kubernetes, and monitoring. How does StackGen fit?** StackGen runs on top of your existing toolchain rather than replacing it (Terraform, OpenTofu, Helm, Kubernetes, Argo CD, Prometheus, Grafana, and more). The difference is who drives the operational work: Aiden does it, governed, instead of your team doing it by hand.

**How is StackGen different from IaC platforms like Spacelift or Terraform Enterprise?** Orchestration platforms make an existing IaC process better but still leave remediation to engineers. StackGen generates infrastructure from application logic, diagrams, or live cloud state, enforces policy during creation rather than only at deployment, and resolves drift automatically.

**How do teams get started?** Most start with a single high-toil workflow (drift remediation, alert-noise reduction, cost right-sizing, or incident response for known failure patterns). A typical pilot runs four to six weeks on a low-risk environment, with measurable toil reduction usually within the first two weeks.

**Is StackGen secure and compliant?** Yes. StackGen is SOC 2, PCI, and HIPAA aligned. Governance is enforced at runtime, every action, decision, and tool call is logged and queryable, and approvals route by environment, blast radius, or cost.

---

## Overview

Source: https://stackgen.com

**The Agentic OS for Ops. Powered by Aiden. Governed end-to-end.**

Aiden is one AI agent that works across infrastructure, SRE, and observability. It runs on top of the cloud, IaC, and observability tools you already use, and is governed end-to-end so it can act safely on your behalf. From provisioning to incident response, StackGen agents reduce operational toil, cut cloud costs, and resolve incidents faster across your entire stack.

Guiding principles: stack-agnostic, policy-enforced, audit-ready, and SOC 2 / PCI / HIPAA aligned.

**The state of agentic DevOps.** Agents are showing up everywhere in DevOps. The real question is whether you can trust them to provide the policy, memory, and audit trail your business needs. StackGen is the control plane that makes autonomous DevOps actually safe to run, across the tools, clouds, and teams you already have.

**One agent. Three deeply-built domains.** Aiden is a unified AI agent that works across the operations lifecycle, with three flagship surfaces, each grounded in your runbooks, modules, and approved patterns:

- **Aiden for SRE, Less toil. Faster recovery. Your SREs, amplified.** Aiden runs the full incident lifecycle on top of your existing observability stack (Datadog, Grafana, New Relic, whatever you already have). It detects, triages, diagnoses, and remediates within policy, and it learns, so your SREs move up the stack to the work that needs judgement. Capabilities include auto service discovery (topology and dependencies), alert triage with SLO-based prioritization (severity, error budget, blast radius), actionable RCA that invokes pre-built workflows and learns from new incident signatures, and human-approved remediation with full audit trails.
- **Aiden for Infrastructure, Stop choosing between fast and compliant.** Describe intent in your IDE (Cursor, Claude Code, VS Code, Amazon Kiro) and get governed Terraform back, with every change policy-checked before it ships and drift caught and remediated continuously. Includes AI IDE-based infra creation via MCP, a producer/consumer model (platform teams set golden modules, developers self-serve safely), Cloud Discovery and Cloud-to-Code for brownfield, and continuous drift detection and auto-remediation with full audit trails.
- **Aiden for Observability, Your monitoring stack shouldn't need its own on-call.** A managed, open-standards observability platform covering metrics, logs, traces, and APM in a single pane. Drop-in Prometheus remote-write, native PromQL, and no per-host pricing or cardinality surcharges. Your existing skills transfer and your existing dashboards keep working. Includes native PromQL, pre-configured Grafana dashboards, 300+ out-of-the-box integrations, and built-in SLO management and error budgeting.

**Also on the platform, same Aiden agent, more surfaces:**

- **Aiden for Pipelines:** CI/CD failure detection, root cause, and remediation, for roughly 30% fewer pipeline tickets.
- **FinOps:** continuous right-sizing and waste detection.
- **Compliance Reporting:** audit-ready evidence pulled directly from Aiden's run history; SOC 2, PCI, HIPAA, and FedRAMP-ready.
- **Custom Workflows:** bring your own runbook, wrap it in policy, and run it autonomously through Aiden.

**Autonomy needs guardrails.** Every Aiden action runs through policy at runtime, not as a static gate. Every decision is logged, and every approval is routed where it should go. Governance building blocks: policy enforcement, audit trail (every action, decision, and tool call logged and queryable), approval workflow (route to humans by environment, blast radius, or cost), and organisational knowledge (runbooks, modules, and incident signatures, versioned and approved).

**Three operating modes, start strict, loosen as confidence grows:**

1. **Advisory:** Aiden recommends, humans execute.
2. **Supervisory:** Aiden acts, humans approve thresholds.
3. **Autonomous:** Aiden acts within policy, humans audit.

**Stack-agnostic by design.** StackGen runs on top of the tools your team already uses, no rip-and-replace, no proprietary lock-in. (See Integrations below for the full ecosystem.)

**Trusted by leading enterprises**, including Nielsen, InMobi, Chamberlain, Autodesk, SAP NS2, Oro, Piramal, Rocktop, ContextQA, Corcentric, Innovaccer, and GreytHR. StackGen is recognized as a Gartner Cool Vendor in AI for IT Operations, featured in four Gartner Hype Cycles, and is an AWS Advanced Technology Partner and Google Cloud Partner.

---

## Platform

### Platform Overview

Source: https://stackgen.com/platform-overview

**The Autonomous Operations Platform, Your Infrastructure, Run by AI Agents.** From provisioning to incident response, StackGen agents reduce operational toil, cut cloud costs, and resolve incidents faster across your entire stack.

**Why it matters, AI adoption in development shifts the bottleneck to infrastructure:**

- **Code-fast, infra-slow.** With 97% of developers using AI coding assistants, software development has accelerated dramatically, but developers remain overwhelmed by infrastructure complexity, with 76% reporting cognitive overload on architecture decisions.
- **Platform engineering, overwhelmed and unscalable.** Platform teams can't simplify infrastructure processes fast enough to match accelerated development cycles, creating bottlenecks through manual deployment and security processes compounded by expertise shortages.
- **Infrastructure as the limiting factor.** Productivity gains from AI-assisted coding are erased by deployment delays, where weeks-long deployment cycles and security reviews eliminate the time-to-market advantage AI coding provides.

**Platform outcomes:** 95% less IaC effort for developers, 10x less manual work for platform teams, 35% fewer compliance issues for DevOps, and 30% fewer production incidents for SRE.

**Delivering DevEx 2.0, scale impact, not tickets.** The experience is intent-driven (developers express what they want; AI handles the how), flow-based (no tickets or context switching, just continuous motion), and built on native intelligence (security, cost, and reliability embedded invisibly).

**From weeks to minutes, four autonomous capability areas:**

- **Build & deploy infrastructure.** AI agents generate infrastructure code from high-level business intent and deploy it through self-validating pipelines with intelligent rollback. Before AI: manual template creation and expert-dependent IaC (24-64 hours). After AI: intent-based generation plus fully automated deployment (~45 minutes).
- **Govern & secure infrastructure.** Continuous AI-driven policy enforcement monitors and corrects vulnerabilities, compliance violations, and drift in real time. Before AI: point-in-time scanning (4-8 hours per review). After AI: continuous, proactive enforcement (real-time).
- **Remediate incidents & drift.** Agents detect root causes and resolve issues without human intervention. Before AI: manual root-cause analysis (2-4 hours MTTR). After AI: self-healing systems (5-15 minutes MTTR).
- **Optimize cost & performance.** Real-time AI optimization continuously adjusts resources based on performance metrics and business priorities. Before AI: manual tuning (2-4 hours weekly). After AI: continuous real-time optimization.

**FAQ highlights:**

- *What is an Autonomous Operations Platform?* AI agents perform infrastructure tasks teams currently do manually, provisioning, incident response, remediation, cost optimization, and compliance enforcement. Unlike monitoring tools that surface problems for humans to fix, StackGen agents take action: they build infrastructure from intent, heal degraded services, enforce guardrails, and optimize continuously, shifting SREs and platform engineers from reactive toil to proactive engineering.
- *How is this different from AIOps or observability tools?* Most AIOps and observability platforms stop at detection, they correlate alerts and create tickets for humans. StackGen goes beyond detection to autonomous action: its agents don't just flag an over-provisioned node or a drifted deployment, they remediate it.
- *Do agents take action without approval?* You control the autonomy level. Every agent operates within guardrails your team defines, from fully autonomous execution for well-understood operations to human-in-the-loop approval for sensitive changes. Most customers start in recommend-and-approve mode and expand autonomy as trust builds, with every decision logged for auditability.
- *We already have Terraform, Kubernetes, and monitoring, how does StackGen fit?* StackGen operates on top of your existing toolchain rather than replacing it, working with Terraform, Pulumi, Helm, ArgoCD, Prometheus, Grafana, and more. The difference is who's driving the operational work.
- *How do teams get started?* Most start with a single high-toil workflow (drift remediation, alert-noise reduction, cost right-sizing, or incident response for known failure patterns). A typical pilot runs 4-6 weeks on a low-risk environment, with measurable toil reduction usually within the first two weeks.

### MCP Server

Source: https://stackgen.com/mcp-server

**Let developers provision infrastructure straight from their IDE.** Use StackGen's MCP server to take action across the infrastructure lifecycle right where engineers live, in AI IDE tools like Claude Code, GitHub Copilot, AWS Kiro, and more.

**The problem:** infrastructure deploys take 7+ days while code takes minutes; teams lose ~40% of productivity to tool context switching; and AI code tools (Claude, Cursor, Copilot) deploy without enterprise governance, creating security and audit risk.

**The solution:** move from tickets to prompts, and from weeks to minutes. Outcomes cited: 95% less infrastructure effort for developers, 10x less manual work for platform teams, 35% fewer security incidents, and 30% fewer production incidents.

**What it is:** a Model Context Protocol server that connects AI assistants to StackGen's infrastructure platform, letting developers deploy, manage, and monitor cloud infrastructure using natural language from their preferred environment. It bridges the AI assistant and StackGen's lifecycle capabilities so you can create AppStacks, provision resources, detect drift, and manage multi-cloud deployments without leaving the IDE.

**Supported clients:** Claude Desktop / Claude Code (native, easiest setup), Cursor (via MCP extension), Gemini CLI (native), Windsurf (via Cascade), and VS Code (coming soon).

**Setup (~5-10 minutes, three steps):** install the StackGen and cloud2code CLIs, generate a Personal Access Token from account settings, and configure your AI assistant. For Claude Code it is a single command: `claude mcp add stackgen`.

**What you can do (25+ tools):** create and manage AppStacks (from architecture diagrams or natural language), deploy multi-cloud infrastructure across AWS/Azure/GCP, import existing resources into managed IaC with Cloud2Code, detect and manage drift, apply governance policies, and sync with version control via GitHub. Example prompts: "Deploy my Python application to AWS ECS" or "Check if my production AppStack has any drift."

**Enterprise security:** encrypted token storage (keychain or encrypted file), no credential logging, command sanitization against injection, TLS encryption, process isolation with timeouts, and governance enforcement (IAM restrictions, security rules, resource policies). Integration docs: https://docs.stackgen.com/docs/mcp

### Integrations

Source: https://stackgen.com/platform/integrations

StackGen is stack-agnostic and runs on top of the tools your team already uses, no rip-and-replace, no proprietary lock-in. Supported ecosystem:

- **Cloud:** AWS, Azure, Google Cloud, EKS, AKS, GKE.
- **IaC:** Terraform, OpenTofu, Helm, CloudFormation.
- **CI/CD:** GitHub, GitLab, Bitbucket, Jenkins, Argo CD.
- **Observability:** Grafana, Prometheus, Loki, Jaeger, OpenTelemetry, Datadog, New Relic.
- **Security & Identity:** Wiz, HashiCorp Vault, Okta, OPA.
- **ChatOps & ITSM:** PagerDuty, Slack, ServiceNow, Jira.
- **IDEs & MCP clients:** VS Code, Cursor, Amazon Kiro, Claude Code, Backstage.

---

## Products

### Aiden for SRE

Source: https://stackgen.com/product/aiden-for-sre

**Aiden resolves L1 incidents so your SREs can build reliability.** Aiden is an AI SRE that acts autonomously on recurring incidents and works complex ones alongside your team through to resolution, policy-bound and fully auditable.

**The challenges it addresses:** roughly 80% of alerts are noise that wastes engineering time; mean time to resolution suffers when correlating logs, metrics, and traces requires manual effort and tribal knowledge; and reactive firefighting can consume around 40% of SRE capacity.

**Core capabilities:**

- **Intelligent discovery:** auto-discovers infrastructure, services, and dependencies from your existing observability stack (Grafana, Prometheus, Loki, Jaeger) and maps AWS, GCP, and Azure, building service topology and dependency graphs, no manual mapping.
- **Alert intelligence:** correlates, deduplicates, and classifies by severity and blast radius; suppresses noise; and enriches alerts with RCA and deployment context, plus predictive patterns from historical incidents.
- **Actionable root cause analysis:** traces incidents across dependencies, correlates logs, metrics, and events, and uses pre-built RCA workflows, anomaly detection, and error-pattern signatures.
- **Human-in-the-loop remediation:** executes remediation for common scenarios (service restarts, scaling, traffic routing, deployment rollback) with approval gates and complete audit trails, drawing on 50+ pre-built remediation tasks.
- **SLO tracking:** tracks error-budget consumption in real time, prioritizes incidents by SLO impact, predicts budget exhaustion, and surfaces observability blind spots.

**Outcomes (this page):** 50% faster root cause analysis, 70% reduction in alert noise, and 90% faster issue detection.

**FAQ highlights:** Aiden integrates with Grafana, Prometheus, Loki, Jaeger, Datadog, Dynatrace, New Relic, and Google Cloud Monitoring, plus PagerDuty, Jira, Slack, and Microsoft Teams. It uses human-in-the-loop remediation, every action requires approval, with full audit trails. Initial discovery runs when you connect your observability stack and typically completes within hours. It works with AWS, GCP, Azure, Kubernetes, and common databases and message queues, and integrates with your existing observability stack rather than replacing it, shipping with 50+ pre-built tasks.

### Aiden for Infrastructure

Source: https://stackgen.com/product/aiden-for-infrastructure

**Shift-left governed infrastructure at AI velocity.** Enable developer self-service by letting developers directly consume production-ready, compliant infrastructure that platform engineers have pre-approved.

**Outcomes:** 10x velocity (deploy infra at AI coding speeds), 100% compliance (auto-enforced shift-left guardrails), and 35% error reduction (catch misconfigurations before deploying IaC).

**The challenges it addresses:** developers wait 3+ days for manual infrastructure approvals; around 70% of deployed infrastructure lacks security-policy enforcement; and complex IaC blocks roughly 80% of developers from self-service.

**Platform-engineering tooling:** Cloud Asset Discovery (discovers existing cloud infrastructure and builds the corresponding AppStack), Compliance Enforcement (automated policy enforcement and continuous security), Custom Modules (create or adapt existing modules for provisioning workflows), and InfraComposer (drag-and-drop visual infrastructure design with rich topology).

**Producer & consumer flow:** platform engineers create highly curated infrastructure AppStacks for greenfield or brownfield scenarios; developers consume them by prompting Aiden (or via MCP in an IDE) describing the IaC they need, and StackGen returns the most appropriate one; the developer then pushes both the AppStack IaC and application code as a pull request.

**Benefits:** enable developer self-service in under 15 minutes, enforce 100% security-policy compliance automatically, and reduce infrastructure deployment time by up to 90%.

**FAQ highlights:** Aiden validates every request against your security, compliance, and architectural standards, preventing violations before they reach production. It integrates with AWS, Azure, GCP, CI/CD pipelines, and developer tools like Backstage, generating standard Terraform/OpenTofu that works with existing workflows, with automatic rollback and drift detection. Developers need essentially zero infrastructure knowledge, they describe needs in plain English. Aiden for Infrastructure is a specialized agent vertically integrated with StackGen's platform to give platform engineers deterministic governance and tooling.

### Aiden for Observability

Source: https://stackgen.com/product/aiden-for-observability

**Unified observability with AI copilot capabilities, ObserveNow + the Aiden AI agent.**

**The observability tax it removes:**

- **Complexity:** 8-12 disconnected tools create blind spots, amplified by microservices and multi-cloud, so engineers spend more time managing tools than solving problems.
- **High TCO:** unpredictable pricing spikes as data grows, forcing teams to limit coverage to control cost.
- **AI gap:** current stacks don't leverage AI for faster insight, manual investigation raises MTTR, and valuable signals are lost without intelligent correlation.

**Who it's for:** DevOps engineers, SREs, and platform team leads, unifying disparate tools, reducing TCO, and enabling self-service with data control and compliance.

**Solution highlights:** deploy full-stack observability in minutes with 300+ out-of-the-box integrations, pre-built dashboards, and automated configuration via OpenTelemetry. Includes data control and compliance (deploy in any cloud or private network with a Private SaaS option for data residency), incident insights with intelligent correlation, root cause analysis with contextual evidence, and MCP-server support in VS Code, Cursor, Windsurf, and more.

**Benefits:** reduce MTTR by 50%, cut observability cost by 60%+, eliminate 90% of data-analytics requests through a natural-language self-service interface, and deploy dashboards within 15 minutes.

**Deployment options:** public cloud (standard SaaS), private SaaS (dedicated cloud environment), on-premises (full control), or hybrid.

**Pricing:** ObserveNow publishes tiered pricing via an on-page calculator, with an Emerging and a Growth tier plus a custom Enterprise plan (contact sales). *(Exact figures change, confirm current numbers on the live page before publishing.)*

**FAQ highlights:** ObserveNow connects to your stack through 300+ OpenTelemetry-based integrations across applications (APM, custom metrics, distributed traces), infrastructure (AWS, GCP, Azure, Kubernetes, servers, containers), and services (databases, message queues, CI/CD, third-party SaaS), each with pre-configured dashboards and alerting. Deployment options meet strict data-governance and residency requirements. It's built on open standards to prevent vendor lock-in, delivers 60%+ lower TCO, and offers customer-facing dashboards to share curated real-time insight (SLOs, system health, performance) with external stakeholders. Product docs: https://docs.stackgen.com/observenow/ and https://docs.stackgen.com/aiden/

### Aiden for DevOps

Source: https://stackgen.com/product/aiden-for-devops

StackGen's conversational DevOps agent: it connects to your existing DevOps tools and executes common workflows across the lifecycle, from Q&A to tasks across DevOps stages. It works through Integration Experts (tool-specific connectors, e.g. Azure, AWS, GitHub, and Grafana Experts), Skills (custom workflows that chain one or more Integration Experts, invoked by relevant queries), and Automations (triggering Skills automatically by trigger type). It serves app developers, platform engineers, SREs, and DevOps engineers, addressing tool sprawl, context switching, alert fatigue, and knowledge gaps. Aiden works standalone (no integrations strictly required, though connecting a repository sharpens context), ships with pre-trained skills plus custom skill training, and can be deployed as Private SaaS or fully self-hosted with a choice of LLMs. By default it can integrate with StackGen to create infrastructure AppStacks; deeper infrastructure-management capabilities are a paid add-on.

---

## Solutions, Use Cases

### Agentic Developer Experience

Source: https://stackgen.com/solutions/agentic-developer-experience

Transform the developer experience from doer to orchestrator (DevEx 2.0): intent-driven (developers express what they want; AI handles the how), flow-based (no tickets or context switching), and built on native intelligence (security, cost, and reliability embedded invisibly). Developers self-serve compliant infrastructure through curated blueprints instead of waiting on platform-team bottlenecks.

### Brownfield Applications

Source: https://stackgen.com/solutions/brownfield

Continuous iterations for Day N. Bring existing (brownfield) infrastructure under governance: Cloud Discovery and Cloud-to-Code convert running cloud resources into clean, modular Terraform, with continuous drift detection and auto-remediation, so legacy environments move from manual ClickOps to governed Infrastructure as Code without risky lift-and-shift re-platforming.

### Greenfield Applications

Source: https://stackgen.com/solutions/greenfield-application-deployment

Easier, faster, safer Day 0. Platform engineers build curated infrastructure AppStacks for new applications that developers can consume on demand, so greenfield projects launch with compliant, production-ready infrastructure from the start.

### Managed OSS Observability

Source: https://stackgen.com/solutions/aiden-for-grafana

From data overload to agentic composure. A managed open-source observability stack (built around Grafana, Prometheus, Loki, and Jaeger with the Aiden AI agent and ObserveNow) that delivers unified metrics, logs, traces, and APM on open standards, with drop-in Prometheus remote-write, native PromQL, and 60%+ lower observability cost, no re-instrumentation and no lock-in. (See "Aiden for Observability" above for full detail.)

---

## Solutions, By Role

These pages frame the same platform for specific audiences. Live taglines and links:

- **SRE**, Maintain reliability with confidence: https://stackgen.com/solutions/sre
- **Platform Engineers**, Streamline golden paths for developers: https://stackgen.com/solutions/platform-engineering
- **DevOps**, Automate your daily workload: https://stackgen.com/solutions/devops
- **Developers**, Bring focus back to shipping products: https://stackgen.com/solutions/developers
- **Engineering Leaders**, Align platform and business engineering teams: https://stackgen.com/solutions/engineering-leaders

---

## Company

### About StackGen

Source: https://stackgen.com/about

**Charting the path to autonomous infrastructure.** StackGen helps organizations move toward cloud infrastructure that is self-building, self-governing, self-healing, and self-optimizing.

**Mission:** eliminate operational inefficiencies by leveraging cloud infrastructure that learns, adapts, and evolves independently.

**Values:** growth mindset, teamwork for collective success, inclusiveness, customer-centricity, velocity, and boldness.

**Company facts:** StackGen (formerly appCD) is a pioneer in autonomous infrastructure technology, headquartered in the San Francisco Bay Area and globally distributed. It serves leading companies across technology, financial services, manufacturing, and entertainment, and is backed by investors including Thomvest Ventures, WestWave Capital, FireBolt, and Secure Octane.

**Leadership includes** Sachin Aggarwal (CEO and Co-Founder), Arshad Sayyad (Business Advisor and Co-Founder), Sanjeev Sharma (Field CTO, VP Platform and Customer Success), Cesar Rodriguez (VP Engineering), Kunal Dabir (VP Engineering, India), Tilak Yalamanchili (VP Partnerships and Alliances), Arul Jegadish Francis (VP Engineering, AI), John Jamie (VP Marketing), Ray Edwards (VP Sales), and Raj Nagarajan (VP Product Management).

### Contact & Demo

Source: https://stackgen.com/contact-us · https://stackgen.com/schedule-demo

Book a 30-minute walkthrough with a solutions engineer, run on your own stack, to see what governed autonomous DevOps looks like on your tools. Get a demo at https://stackgen.com/schedule-demo or talk to sales at https://stackgen.com/contact-us.

### Partners

Source: https://stackgen.com/partners

Grow recurring revenue with an Agentic SRE and Observability partner program. The StackGen Partners Program is designed for GSIs, cloud consulting firms, and solution partners delivering infrastructure and operations services on cloud. Partners gain access to StackGen's Autonomous Operations Platform to expand their Agentic DevOps and AI SRE practice, differentiate their cloud offerings, and build new recurring revenue streams.

---

## Customers

Source: https://stackgen.com/case-studies

- GreytHR: reduction in incident MTTR and observability support tickets with Aiden. https://stackgen.com/case-studies/greythr
- Innovaccer: accelerated deployment efficiency from days to hours with StackGen. https://stackgen.com/case-studies/innovacer
- StackGen's own SRE team: cut RCA time by 75% running Aiden and ObserveNow in production. https://stackgen.com/case-studies/stackgen-sre-team-cuts-rca-time-by-75-with-aiden-observenow

---

## Resources

- **Blog** (https://stackgen.com/blog): perspectives on agentic DevOps, AI SRE, and autonomous infrastructure.
- **Case Studies** (https://stackgen.com/case-studies): real customer outcomes, including GreytHR and Innovaccer.
- **Stacked Up, IaC Maturity Research** (https://stackgen.com/stackedup-infographic-2025): StackGen's research benchmarking IaC maturity.
- **Documentation** (https://docs.stackgen.com/docs): product documentation and setup guides, including Aiden and ObserveNow.

---

## Featured Reading

- **What Is AI SRE?** (https://stackgen.com/blog/what-is-ai-sre): a primer on AI-driven site reliability engineering and how autonomous agents change incident response.
- **How We Debug Multi-Stage AI Agent Workflows** (https://stackgen.com/blog/how-we-debug-multi-stage-ai-agent-workflows): a practical method for testing multi-stage AI agents and isolating stage-level failures.
- **Trust But Verify: Talkdesk's Platform Engineering Lead on Human-in-the-Loop RCA** (https://stackgen.com/blog/trust-but-verify): why human-in-the-loop root cause analysis earns trust in production.
- **Can You Trust AI for SRE in Regulated Industries?** (https://stackgen.com/blog/can-you-trust-ai-sres-in-regulated-industries): how governed, policy-bound, auditable AI SRE fits SOC 2, HIPAA, and PCI environments.
- **The 4-Body Problem of SRE: Building an Agentic OS for Autonomous Operations** (https://stackgen.com/blog/the-4-body-problem-of-sre-building-an-agentic-os-for-autonomous-operations): why modern incidents outgrow any single engineer's mental model.
- **How Online Services Actually Break: A Data-Backed SRE Failure Mode Taxonomy** (https://stackgen.com/blog/sre-failure-mode-taxonomy): a failure-mode taxonomy drawn from 178,000+ status-page incidents and 1,037 post-mortems.
- **MCP Servers for Developers: 8 Benefits Transforming Developer Workflows in 2026** (https://stackgen.com/blog/mcp-servers-benefits-developers-devops-2026): how context-connected AI changes day-to-day developer and DevOps work.
- **Systems Don't Lie: Director of Engineering, Pocket FM on Reducing Uncertainty During Incidents** (https://stackgen.com/blog/systems-dont-lie-abhishek-kundalia-on-the-first-15-minutes-of-an-incident): why agents that query systems directly win the first minutes of an incident.

---

## Company Pages

- **Partners** (https://stackgen.com/partners): helping organizations modernize, secure, and govern IaC through strategic partnerships.
- **Newsroom** (https://stackgen.com/press-news): StackGen news, press, and analyst recognition.
- **Analysts** (https://stackgen.com/analysts): expert thought leadership and analyst recognition.
- **Careers** (https://stackgen.com/careers): open roles at StackGen.

_Last updated: 2026-08-12._