Research & Engineering
Sustainable AI-assisted engineering, from prototype to production.
What I'm building
AI-assisted engineering needs systems that keep work reviewable, context disciplined, and humans in control. I build and write at this intersection: context quality, feedback loops, backpressure, agent security, observability, and production guardrails.
Currently exploring
- Review burden - keeping generated work inspectable before it reaches humans
- Context discipline - deterministic input quality for LLM workflows
- Backpressure - fast feedback loops, typed boundaries, tests, and human approval where it matters
- Agent observability - runtime signals and audit trails that keep agent workflows inspectable
- Governable workflows - policy boundaries, tests, and human approval where they matter
- Writing - turning AI fatigue into practical systems guidance
Focus areas
Context Discipline
"How do teams keep AI systems useful when context grows, duplicates, and drifts?"
Clean and deduplicate context before it reaches the model. Use deterministic systems where possible so humans can inspect what changed.
Review Burden & Backpressure
"How do teams stop AI-generated work from overwhelming the review queue?"
Fast feedback loops, type systems, tests, and clear boundaries should catch low-signal mistakes before they reach a human.
Production Guardrails
"What systems keep AI-assisted software work governable in production?"
The goal is not more autonomous output. The goal is work that stays inspectable, bounded, and compatible with how real engineering teams operate.
Products & Prototypes
Distill
Deterministic context deduplication for LLMs in ~12ms
WritingThe Agentic Engineering Guide
33 chapters on context, backpressure, workflows, and building with AI
Open SourceOpenFGA
Google Zanzibar-style authorization (Core Maintainer)
Developer ToolsGitHub1s
One-second code reading for GitHub repos (Maintainer)
Context EngineeringContextLab
LLM context engineering toolkit - analyze, compress, visualize
Memory SystemsTokenVM
KV-cache virtual memory with page-based eviction
BackpressureThinkBudget
Adaptive inference budget controller for reasoning workflows
PerformanceLLMTraceFX
GPU-level LLM inference profiler with AI-powered insights
Working with me
Systems engineering experience meets research curiosity.
- Ships: research prototype to production. Built Distill, maintain OpenFGA
- Systems depth: production infrastructure at Ona (formerly Gitpod)
- Open source: OpenFGA maintainer (CNCF), GitHub1s maintainer
- Cross-domain: security, distributed systems, ML infrastructure
- 80+ articles on siddhantkhare.com/writing