Blog
Blog
233 articles on building, governing, and measuring enterprise AI: agents, retrieval, workflows, security, MLOps, and department playbooks.
engineering · 1 min
Drift Detection for LLM Apps
LLM apps drift even without code changes - providers update silently, user inputs evolve, KBs grow. Here is how Bhogar AI detects drift early.
February 20, 2026
engineering · 1 min
Feedback Loops: Turning User Signal Into Better Prompts
Thumbs-up / thumbs-down is data, not noise. Here is how Bhogar AI turns feedback signal into prompt improvements without overfitting to vocal users.
February 18, 2026
engineering · 1 min
Latency Optimisation for LLM Apps
Latency is the most-felt AI quality. Here are the seven techniques Bhogar AI uses to keep p95 in check.
February 17, 2026
engineering · 1 min
SLOs and SLIs for AI Features
Latency and availability SLOs translate to AI; quality SLOs are new and tricky. Here is how Bhogar AI defines and measures both.
February 16, 2026
engineering · 1 min
Model Registry: A Single Source of Truth for What Is Live
Knowing what model version is live where, with what prompt, is harder than it sounds. A model registry makes it easy.
February 14, 2026
engineering · 1 min
Shadow Traffic: Testing AI Changes Without User Risk
Shadow traffic runs the new version in parallel with the old, comparing outputs, without affecting users. Here is the Bhogar AI implementation.
February 13, 2026
engineering · 1 min
Continuous Improvement: The AI Quality Flywheel
AI quality compounds when you build the right flywheel: production samples → evals → prompt iteration → re-eval. Here is how to operationalise it.
February 10, 2026
engineering · 1 min
On-Call for AI Apps: What Changes
AI on-call adds incident classes traditional SRE has never seen. Here is what changes - and what stays the same.
February 9, 2026
engineering · 1 min
Retraining and Fine-Tuning Cadence for Production AI
How often should you retrain or refresh fine-tunes? It depends on signal, not gut feel. Here is the cadence framework Bhogar AI uses.
February 8, 2026
engineering · 1 min
Building RAG Applications That Actually Work
A practical guide to building retrieval-augmented generation systems that deliver accurate, relevant responses.
January 25, 2026
engineering · 1 min
Prompt Engineering Best Practices for Production
Lessons learned from deploying thousands of AI agents: how to write prompts that work reliably.
December 12, 2025
engineering · 1 min
Scaling AI Workflows: Lessons from 1 Billion Requests
Infrastructure insights from scaling our platform to handle billions of AI requests per month.
November 28, 2025
engineering · 1 min
KEDA Autoscaling for AI Workloads
Why CPU-based autoscaling is wrong for AI services and how Bhogar AI uses KEDA on token throughput, queue depth and concurrent agents.
November 23, 2025
engineering · 1 min
OpenTelemetry GenAI Semantic Conventions in Practice
OTel's GenAI semantic conventions standardise AI observability. Here is what they cover and how Bhogar AI implements them.
November 22, 2025
engineering · 1 min
Streaming Architecture for LLM-Powered Apps
End-to-end streaming requires server, client and intermediaries to all behave. Here is the architecture Bhogar AI uses for sub-second perceived latency.
November 21, 2025
engineering · 1 min
Agent State Machines: Beyond Loops
When agent loops are not enough, state machines give you predictable, auditable agents. Here is the pattern Bhogar AI uses.
November 20, 2025
engineering · 1 min
Vector Index Tuning: HNSW Parameters in the Real World
HNSW parameters look intimidating. Here are sensible defaults and the few knobs that actually matter for production RAG.
November 19, 2025
engineering · 1 min
Postgres as Your Vector Database: When and Why
pgvector inside the Postgres you already operate covers more workloads than its critics admit. Here is when it is right.
November 18, 2025
engineering · 1 min
Agent Memory: Implementation Patterns That Work
Practical implementation patterns for short-term, long-term, episodic and semantic agent memory.
November 17, 2025
engineering · 1 min
Feature Flags for AI Releases
AI features need feature flags as much as UI features do - maybe more. Here is the four-scope flag pattern Bhogar AI uses internally.
November 16, 2025
engineering · 1 min
Hot-Reload Prompts: Iterating Without Redeploying
Hot-reloading prompts from a registry lets you iterate without app redeploys. Here is how Bhogar AI ships it safely.
November 15, 2025