AI coding tools have changed how developers work, yet most engineering organizations struggle to scale beyond individual productivity. Tikal’s Agentic SDLC solution introduces a unified platform and methodology that embeds AI agents into your software lifecycle through architectural implementation, hands-on workshops, and direct team enablement, turning experimentation into a governed and repeatable process that accelerates delivery.
Agentic SDLC is Tikal’s comprehensive solution for operationalizing Governed AI for High-Velocity Engineering. It provides the technology, structure, and expert guidance your teams need to move from fragmented AI experimentation to a consistent, high-velocity workflow.
The solution is built on the agentic-sdlc-spec-kit CLI, an AI Assistant-integrated tool that orchestrates the workflow with commands like /specify and /plan. It uses LiteLLM for centralized model control, and invokes autonomous agents such as All-Hands or PR-Agent for delegated tasks. The team-ai-directives repository anchors rules, personas, examples, and shared context that guide consistent AI behavior across teams.
Scalable AI workflow, implemented through our expert-led platform and mentorship.
Elevate developers from coders to architects who guide AI collaborators while owning the final output.
Move from ad-hoc prompts to a structured workflow where every task begins with a formal, version-controlled mission brief.
Master both real-time AI collaboration for complex problems and asynchronous delegation for automating toil.
Manage cost, security, and quality with centralized orchestration, model routing, and adaptive quality gates.
Turn AI instructions into a shared, version-controlled asset that ensures consistent behavior across all teams.
Build a continuous improvement loop by formalizing best practices and contributing knowledge back to a shared repository.
Our process is designed to embed the Agentic SDLC into your team's DNA. We begin with a discovery session to select a real-world use case from your projects. Then, through a series of hands-on workshops, we train your developers, QA, and DevOps on the methodology using the spec-kit CLI. The process culminates in direct, on-site mentorship, where our experts work with your teams on their live sprint tasks, ensuring the new, governed workflow becomes a lasting habit.
Interested?
Let’s build your Agentic SDLC foundation and define a governed, organization-wide AI development process.
