Insights

Field notes from building agentic systems and shipping product work.

Practical writing on the engineering decisions that separate useful systems from demo-stage theatre.

Agentic Systems / 12 min read

The Agentic Prototype Is a Lie

Why your AI agent demo works perfectly and your production system doesn't — and the six engineering gaps that explain it.

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AI Product Engineering / 10 min read

Your 6-Month AI Pilot Should Take 4 Weeks

Most AI pilots fail from scope creep, not technical limitations. Here is the 4-week framework for reaching a real go/no-go decision fast.

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Platform Engineering / 9 min read

How We Cut Cloud Infrastructure Cost by 75%

How CoEdify reduced monthly Azure spend at EquippedAI from Rs40 lakh to Rs10 lakh — and what architectural decisions actually drove the saving.

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Agentic Systems / 8 min read

Your Coding Agent Can't Refactor Legacy Code — Here's Why

Coding agents don't fail on legacy code because the model is weak. They fail because the code has no safety net.

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Agentic Systems / 8 min read

The Context Window Problem Nobody Talks About

A larger context window gives the model more text to read. It does not give your agent a memory. That distinction breaks most production systems.

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Agentic Systems / 9 min read

How to Evaluate Agent Quality Without a QA Team

You don't need a QA department to evaluate agents well. You need deterministic checks, rubric-based review, and regression testing on every meaningful change.

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AI Product Engineering / 10 min read

If Your Agentic MVP Takes More Than a Month, You're Solving the Wrong Problem

The bottleneck in most agentic MVPs is not the agent — it is the missing infrastructure layer underneath it.

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Agentic Systems / 9 min read

Multi-Agent Coordination Without Framework Lock-In

The problem with framework-first multi-agent design is not the frameworks — it is what happens when they become the system of record.

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Agentic Systems / 9 min read

Why Your RAG Pipeline Keeps Disappointing

Most RAG systems disappoint in production for the same reason: they flatten reference knowledge, live state, and accumulated memory into one retrieval layer.

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AI Product Engineering / 8 min read

The Spec Is the Prompt: Why Vibe Coding Breaks at Month 3

Coding agents are fast. Underspecified intent is expensive. For production work, the spec is the real prompt — not the one-liner you type into the chat.

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