AI Native Engineering
Next-Gen Development

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

Legacy development is too slow. We leverage cutting-edge tools to deliver exponential velocity and capabilities.

LangGraphNew

Moving beyond simple chains to stateful, cyclic graph architectures. We build complex, multi-agent workflows that can reason, persist state, and retain context over long-running tasks.

Antigravity FrameworkProprietary

Our proprietary agentic engine. High-leverage coding agents that work alongside human engineers to plan, execute, and verify complex refactors and feature implementations autonomously.

Planning AgentsSafe ExecutionVerify Loop

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

AI-native editor workflows. We optimize developer environments with custom rules (`.cursorrules`) and context indexing to make every engineer 10x more effective.

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

Security-first deployment of open weights (Llama 3, Mistral) and proprietary models. RAG pipelines, fine-tuning, and evaluation frameworks for mission-critical reliability.

Deployed Reality, Not Hype

We apply these frameworks to solve the most intractable engineering bottlenecks.

01

Legacy Modernization

We deploy Antigravity Analysis Agents to map monolithic codebases and autonomously generate plan-aware migration scripts to microservices.

Result: 18 months of refactoring compressed into 12 weeks.

02

Self-Healing Infrastructure

LangGraph supervisors monitor production logs, triage incidents, and spin up sandbox environments to test patches before human review.

Result: 60% reduction in MTTR and zero-page sleep schedules.

03

Automated Compliance

Agents that parse NIST 800-53 controls and automatically verify Infrastructure-as-Code against them, generating artifacts for audit.

Result: Continuous ATO readiness without the paperwork fatigue.

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.

agent_workflow.ts● Live Execution
Detecting regression in auth-service...
Analyzing commit 8a2b9c by @developer...
Querying Claude 3.5 Sonnet for root cause...

"The error stems from a race condition in the useAuth hook introduced in line 45. Suggest wrapping in useEffect..."

Generating fix... Done
Running unit tests... Passed (14/14)
Opening PR: "fix: resolve auth race condition [Auto-Generated]"

How We Apply It

1

Agentic Orchestration

We don't just write scripts; we build graph-based agents using LangGraph that can decompose complex problems, research solutions, and execute multi-step coding tasks with human oversight.

2

Autonomous Verification

Using Claude Code and AI GitLab Runners, our pipelines don't just fail; they analyze the error, propose a fix, and verify it against the spec before alerting a human.

3

Force-Multiplied Teams

We equip your team with Antigravity and Cursor workflows, turning every senior engineer into an architect of autonomous agents, effectively 10x-ing their output.

Modernize Your Development

Stop building like it's 2020. Adapt your engineering culture to the era of Agentic AI.