Research
The intelligence behind Blueprint, Recon & AutoX
How we're building agentic AI systems that reason about code, plan architectures, detect vulnerabilities, and ship software safely and at scale. This page documents the research, the open problems, the architectural decisions, and the failures that shaped what Agnixa is today. We publish this because the field moves faster when people share what actually works.
3
Specialized
Brains
5
Analysis
Layers
Context
Memory
What we're publishing
| Date | Category | Title |
|---|---|---|
| Apr 2, 2026 | Blueprint | From Vague Prompt to Sprint-Ready Architecture: How Blueprint Decomposes Requirements |
| Mar 21, 2026 | Recon | Recon vs. Manual Security Audit: Accuracy, Coverage & Time-to-Detect |
| Mar 8, 2026 | AutoX | Synthesizing Production-Grade CI/CD Pipelines from Natural Language Descriptions |
| Feb 26, 2026 | AI Safety | Human-in-the-Loop Design for Autonomous DevOps: When to Ask, When to Act |
| Feb 13, 2026 | Recon | Deep Git History Scanning: Finding Secrets That Were Committed and "Deleted" Years Ago |