Engineering in the Age of
Agentic AI
We don't just build software; we build the autonomous systems that build software. Mastering the stack of the future: deployed LLMs, Agentic Frameworks, and AI-driven infrastructure.
The Modern AI Stack
Most teams are under pressure to ship while also improving reliability and security. We bring a practical toolchain and a delivery approach that reduces manual work in planning, implementation, and verification.
LangGraphNew
We use graph based orchestration for agents that need memory, approvals, and repeatable steps. This is useful when tasks span many files or require multiple checks.
Antigravity FrameworkProprietary
Our internal workflow templates for agent based coding. They standardize steps like task breakdown, change plans, test execution, and human approval before merge.
Claude Code
Leveraging Anthropic's most advanced coding models for deep architectural understanding. We integrate Claude Code for semantic code analysis and massive-context refactoring.
Cursor AI
We set up editor rules, code context indexing, and review prompts that make code changes easier to reason about and easier to review.
AI-Driven GitLab Runners
Intelligent CI/CD pipelines that self-diagnose failures. We deploy GPU-enabled runners optimized for model inference and automated code review agents within your merge requests.
Enterprise LLM Ops
We support multiple deployment options, including self hosted models when required. We design for data boundaries, logging, evaluation, and repeatable approvals.
Deployed Reality, Not Hype
We apply these frameworks to solve the most intractable engineering bottlenecks.
Legacy Modernization
We deploy Antigravity Analysis Agents to map monolithic codebases and autonomously generate plan-aware migration scripts to microservices.
What you get: a modernization plan, a service boundary proposal, migration steps by domain, and a working pilot path that your team can extend.
Self-Healing Infrastructure
LangGraph supervisors monitor production logs, triage incidents, and spin up sandbox environments to test patches before human review.
What you get: incident triage workflows, runbooks that agents can follow, and a safe patch and test loop that routes changes to human review.
Automated Compliance
Agents that parse NIST 800-53 controls and automatically verify Infrastructure-as-Code against them, generating artifacts for audit.
What you get: control mapping support, evidence templates, and automated checks against your infrastructure and configuration standards.
The Agentic
Architecture Blueprint
Most teams slap a chatbot on their docs and call it AI. We build dedicated Cognitive Architectures based on the ReAct pattern (Reasoning + Acting).
Perception Layer
Ingesting logs, code diffs, and tickets using vector embeddings for semantic understanding.
Cognitive Core (LangGraph)
State management for multi-turn reasoning. Agents can "think" before they act, consulting policy docs or testing hypotheses.
Action Interface
Safe, permissioned tool-use. Agents can open PRs, run SQL queries (read-only), or trigger deployments via GitLab API.
For regulated environments, we design for least privilege tool access, human approval for any write actions, and logging that supports audits and post incident review.
"The error stems from a race condition in the useAuth hook introduced in line 45. Suggest wrapping in useEffect..."
How We Apply It
Agentic Orchestration
We build agent workflows for repeatable engineering tasks, with checkpoints for review, tests, and approvals.
Autonomous Verification
When a build fails, we add automated analysis that summarizes the likely cause, suggests next checks, and prepares a candidate change for review.
Force-Multiplied Teams
We equip your team with Antigravity and Cursor workflows, turning every senior engineer into an architect of autonomous agents, so they can spend more time on architecture and review, and less time on repetitive implementation work.
Modernize Your Development
If you are evaluating where LLMs and agents fit into delivery, we can help you choose the right use cases, set the controls, and deliver a pilot your team can maintain.