--- title: "AI SDLC Advisory" description: "We help engineering organizations build a delivery system where agents move product work through the full SDLC, while people set direction, review critical decisions, and retain control. Start with one pilot team, prove the model, then scale what works." url: https://www.callstack.com/capabilities/ai-sdlc-advisory updated: 2026-11-06T10:07:42.425Z --- # AI SDLC Advisory We help engineering organizations build a delivery system where agents move product work through the full SDLC, while people set direction, review critical decisions, and retain control. Start with one pilot team, prove the model, then scale what works. _[Agentic Delivery](https://www.callstack.com/agentic-delivery) › AI SDLC Advisory_ **Move from AI-assisted coding to agentic product delivery.** We help engineering organizations build a delivery system where agents move product work through the full SDLC, while people set direction, review critical decisions, and retain control. Start with one pilot team, prove the model, then scale what works. [Book consultation](https://www.callstack.com/contact) [Explore services](#services) Trusted by 100+ Enterprise clients Expensify · Ticketmaster · DirecTV · MLS · PWC · Evernote · AutoZone · MoMo · Dream11 · Rainbow · Futurewei · RIMAC · Hello Fresh · Haaretz · ForaTravel · CelcomDigi · Teamworks · Boats · Questrade · Dialogue Why redesign the SDLC ## Turn individual AI gains into team results. We redesign how product intent, context, implementation, verification, and release work together, then prove the new delivery loop with one team before scaling it. - **Connect the full lifecycle.** Product intent, design, implementation, validation, release, and feedback operate as one delivery loop. - **Keep people accountable.** Teams set direction, review critical decisions, and define the controls agents must follow. - **Own the system behind the agents.** Context, skills, integrations, and guardrails live in your environment instead of depending on one vendor. - **Scale evidence, not experiments.** Prove the model with one team, measure the result, then expand what works. Services ## Build the agentic delivery loop. ### Use Cases - **AI SDLC Assessment & Roadmap**: Map the current SDLC, identify where agents can remove delivery bottlenecks, and define the roadmap and pilot. - **Agent Skills & Context Engineering**: Turn company playbooks, engineering standards, and repository context into versioned, tested instructions that agents can reliably execute. - **SDLC Automation**: Connect product context, implementation, verification, and release so agents can move work across lifecycle boundaries with clear controls. - **Agentic Engineering Transformation**: Launch the operating model in real delivery, with the context, skills, roles, and practices teams need to own and scale it. - **Figma-to-Code Workflows**: Turn approved Figma designs and design-system components into usable UI code, with engineers reviewing quality, architecture, and native feel. - **Adoption Measurement**: Measure how agentic workflows affect delivery speed, quality, and adoption before scaling them across the SDLC. AI SDLC Advisory ## Build your first agentic delivery loop. Start with one team and one real workflow. We will assess the current lifecycle, design the target loop, and define the pilot that proves what should scale. [Build the first loop](https://www.callstack.com/contact) Scope → Build → Scale ## Assess, prove, and scale agentic delivery. ### Scope We select a product workflow, define where agents act, and agree the controls and success measures. - Workflow and owners defined - Baseline and controls agreed - Token budgets confirmed ### Build We connect context, agents, and verification to your tools, then run the workflow on your product backlog. - Running on your product backlog - Speed and quality measured - Business impact validated ### Scale We document the workflow, transfer ownership, and extend it across teams and products based on results. - Your team owns the workflow - Expand based on results - Full knowledge handover - 3x Delivery acceleration · 80% Effort executed by agents - Industry runs on our tooling · 50M+ OSS downloads / month - [Built on Agent Device. · T3 · Shopify · Tester Army · Agent Device](https://agent-device.dev/) - 100+ Enterprise projects delivered - React Foundation Founding Member · 300+ commits to React Native · Contributing since 2016 - [~6x Faster prototyping · 60+ Components mapped with full coverage · Figma · Claude · Server · Tailwind · Tokens · React · Cursor · ESLint](https://www.callstack.com/case-studies/engineering-ai-loops-for-a-cross-platform-design-system) 10 years of React Native → Now in your AI stack ## Build your first agentic delivery loop. Start with one team and one real workflow. We will assess the current lifecycle, design the target loop, and define the pilot that proves what should scale. [Build the first loop](https://www.callstack.com/contact) Open Source ## Build with our open-source tools. We open-source the tools behind our delivery model. Use them, fork them, or let us run them for you. [Check All Tools](https://www.callstack.com/open-source) - [Agent Skills](https://github.com/callstackincubator/agent-skills): Callstack’s best practices on React Native performance optimization, upgrading, CI workflows, and brownfield migrations (1.7K stars) - [Agent Device](https://agent-device.dev/): CLI to control iOS and Android devices for AI agents (980.4K downloads/mo) - [Apex](https://apex.callstack.com): Agentic coding model for mobile and web - [Agent React DevTools](https://github.com/callstackincubator/agent-react-devtools): Gives AI agents access to React DevTools (251 stars) Insights ## Worth your time, by engineers. [Explore Insights](https://www.callstack.com/insights) - [Building the React Native Software Factory](https://www.callstack.com/events/building-the-react-native-software-factory) (Nov 11 · Talk): Join us at React Foundation Meetup London on November 11 to explore how AI agents build and debug React Native apps, from one terminal to the cloud. - [Building a Software Factory: Write Specs an Agent Can Build From](https://www.callstack.com/blog/building-a-software-factory-write-specs-an-agent-can-build-from) (Nov 6 · Article): Szymon Chmal uses a Simlock device-cleanup feature to explain how he plans work for coding agents. Follow the process from code research and product decisions to testable tasks, independent specification checks, and human approval. - [ Large-Scale Migrations With Coding Agents: Planning, Verification, and Rollback](https://www.callstack.com/blog/large-scale-migrations-with-coding-agents-planning-verification-and-rollback) (Nov 4 · Article): Organize a large-scale codebase migration around documented requirements, scoped agent tasks, and human review. This article covers verification, telemetry, staged rollout, and rollback criteria. - [Building a Software Factory: The Night My Agents Waited for Me](https://www.callstack.com/blog/building-a-software-factory-the-night-my-agents-waited-for-me) (Oct 28 · Article): Two coding agents worked overnight on Simlock and ended up waiting for their maintainer. This article examines the questions that stopped them and the workflow changes that followed, from recurring permissions and review limits to product choices agents can make provisionally for human review. - [Your AI Coding Agent Still Needs an Architecture](https://www.callstack.com/blog/your-ai-coding-agent-still-needs-an-architecture) (Oct 22 · Article): AI coding agents make implementation decisions about logic, dependencies, and shared behavior. A favorites feature illustrates how explicit contracts, gradual migration, behavior tests, and automated dependency checks give engineers a basis for reviewing those decisions. - [Who Left the Agents Running? React Native Software Factories](https://www.callstack.com/events/who-left-the-agents-running-react-native-software-factories) (Oct 15 · Live Stream): Join Kewin Wereszczyński and Szymon Chmal to explore what can go wrong in a React Native software factory overnight and the controls that keep agents on track. - [When Coding Gets Faster, What Breaks Next?](https://www.callstack.com/podcasts/when-coding-gets-faster-what-breaks-next) (Oct 14 · Podcast): Matt Hargett explains how AI moves bottlenecks across testing, deployment, infrastructure, support, and the rest of software delivery. - [AI Agent Observability With Ivana Huckova and Sven Großmann](https://www.callstack.com/podcasts/ai-agent-observability-with-ivana-huckova-and-sven-grossmann) (Oct 12 · Podcast): Grafana's Ivana Huckova and Sven Großmann discuss AI agent observability, coding-agent costs, PR analytics, secret redaction, and local guardrails.