Choosing to build rather than buy custom software, core components, or modern MVPs is often the right strategic decision. But it shouldn't come at the expense of your product roadmap. While the business demands continuous delivery, internal build initiatives can quickly consume engineering capacity and force difficult tradeoffs across core product development.
Every engineering organization has projects that are strategically important but never reach the top of the roadmap. New MVPs, internal platforms, framework upgrades, architecture modernization, and infrastructure initiatives often compete with customer-facing priorities. Tikal's AI-native squads provide dedicated execution capacity to deliver these projects without slowing ongoing product development.
The solution is built on the agentic-sdlc-spec-kit and the team-ai-directives repository, encoding architectural governance as strict, version-controlled AI directives. We deploy AI-powered static analysis for system mapping, automated refactoring agents for code transformation, and AI-generated test suites for 1:1 logic parity. Every custom build runs through strict evolutionary design, fully integrated into your existing CI/CD pipeline on AWS, GCP, or Azure.
By offloading custom internal builds and infrastructure tasks to a dedicated squad.
Your core team keeps shipping features every sprint while we build and modernize your secondary layers.
Eliminate the resource deficit that usually kills in-house development and migration initiatives.
We isolate, clean, and build targeted code modules to seamlessly hook into modern infrastructures.
Deliver production-ready MVPs and complex infrastructure extensions in months instead of years.
AI-generated documentation and behavior-driven test suites ensure your team fully owns the new codebase.
Our structured, phased process is designed to deliver high-priority builds and modern baselines, while keeping your internal engineering team completely focused on your core roadmap.
Our architects use AI to scan your codebase, map technical dependencies, and expose velocity killers. We design a targeted evolutionary target architecture for your custom build or MVP and encode all rules into the agentic-sdlc-spec-kit.
Our engineers isolate a single high-friction module or prototype and run a live development sprint. AI generates behavior-anchored tests before transformation. Refactoring agents handle logic extraction, delivering a production-ready upgraded component or MVP core.
A dedicated Tikal Squad embeds directly into your workflow, tailoring our delivery methodologies to your environment. The team takes full ownership of continuously executing your custom build backlog while your developers stay focused on product features.
Let's deliver the MVPs and custom components your business needs.