RESOURCES
Deep knowledge,
straight from the field
Tenten AI engineers deploy AI systems in production environments and distill the real technical insights into whitepapers. Read the abstract free — submit your details to unlock the full content.
Featured
Harness Engineering
The Runtime Around the Loop — Tooling, Sandboxing, Observability, and Stop Conditions for Production Agents
Software 3.0 in Production
Programming in English, Verifying in Code — Karpathy's Framing Meets the Realities of Enterprise Delivery
The Million-Token Codebase
Long Context vs Retrieval — Architecting Codebase-Scale AI When the Whole Repo Fits in the Window
Choosing a Coding-Agent Model in 2026
Opus 4.7, GPT-5.5, Gemini 3.1, and the Open-Weight Contenders — A Selection Framework for Engineering Leaders
Spec-Driven Agentic Development
Writing Plans Machines Can Execute — The Durable Artifact at the Center of Reliable Agent Work
Sandboxed Autonomy
Safe Execution for Long-Running Coding Agents — Worktrees, Ephemeral Environments, and Blast-Radius Control
Background Agents
The Async Developer Workflow — Fire-and-Forget Cloud Agents, Scheduling, and Orchestrating Work You Don't Watch
Multi-Agent Failure Modes
Production Post-Mortems: The Coordination Failures Nobody Publishes
RAG at Enterprise Scale
The Production Decisions That Never Appear in the Tutorials
Fine-Tuning vs RAG
A Decision Framework from 20+ Enterprise Deployments — When Each Approach Earns Its Cost
The FDE Operating Model
How Forward Deployed Engineering Teams Build AI Systems That Last — and Transfer Capability, Not Just Code
Agentic AI Governance
An Operational Runbook for Regulated Enterprises — Audit Trails, Checkpoints, and Shutdown Procedures
Evaluation Drift
Keeping AI Agents Performant After Month Three — Instrumentation, Cadence, and the Metrics That Matter
AI in Regulated Environments
A Practitioner's Field Guide for Healthcare, Finance, and Legal — Treating Compliance as a Design Constraint
Hermes Agent Architecture
Building Reliable Multi-Step AI Workflows in Production — Durable Execution, State Management, and Recovery
Enterprise Knowledge Structuring
Why Your Documentation Is Broken for AI — and the Restructuring Patterns That Fix It
Want to apply these strategies in your organization?
Tenten AI's forward deployed engineers work directly in your environment, translating these patterns into running AI systems.
AI workflows,
built into your operations
We deploy forward — FDE and FDM — to build the AI agents and workflows your team runs on. Live in weeks, not quarters.