Tag feed

#production-ai

55 posts0 followers

Explore Hashnode

Alternatives

Trending tags this week

VKVamsi Krishnablog.vamsiannamreddy.com3d ago · 3 min read

Autonomy is a runtime decision, not a model decision

An agent run once produced a perfectly reasonable plan, executed it cleanly, and wrote the output into the wrong workspace. No exception. No alert. The model behaved exactly as intended. The runtime h

1

N

AAudaciaaudaciatechnicalblog.hashnode.dev4d ago · 10 min read

From Proof of Concept to Production: What AI Projects Actually Require

The gap between a proof of concept and a production system is where a significant proportion of AI initiatives fail to progress. Understanding what that transition involves, and planning for it from t

0

VKVamsi Krishnablog.vamsiannamreddy.com6d ago · 3 min read

When MCP earns its overhead, and when a direct API is better

Teams tend to land in one of two ditches. Either MCP goes everywhere, including in front of an internal function the app already calls directly, or it goes nowhere and every AI feature reimplements th

0

VKVamsi Krishnablog.vamsiannamreddy.comJul 27 · 2 min read

A clean connector does not make a reliable agent

Your integration tests pass. Every tool returns what it should, schemas validate, errors are structured. The agent still spent forty tool calls going in a circle and then confidently reported a result

3

JVC

VKVamsi Krishnablog.vamsiannamreddy.comJul 24 · 3 min read

Where your MCP server runs is a production decision

A local MCP server starts as a script on one laptop. Someone finds it useful. Six weeks later four people depend on it, it holds a long-lived database credential, and nobody has ever looked at a log.

0

VKVamsi Krishnablog.vamsiannamreddy.comJul 25 · 2 min read

Tools, resources and prompts are not interchangeable

Almost every MCP server I have looked at exposes everything as a tool. It is the path of least resistance, and it silently moves control from the person to the model. Three primitives, three different

0

VKVamsi Krishnablog.vamsiannamreddy.comJul 23 · 2 min read

What the MCP protocol actually standardises

Most teams meet MCP as a config block they paste into an app. It works immediately, and that tends to be the end of the thinking. Then someone asks who owns the connector, and the room goes quiet. MCP

0

VKVamsi Krishnablog.vamsiannamreddy.comJul 20 · 3 min read

Day 60: From model demos to mission-ready AI systems

Sixty days ago this series started with one claim: AI is a system, not a model. Here is the map that claim produces, and the question each layer has to answer before it is production-ready. Layer T

0

VKVamsi Krishnablog.vamsiannamreddy.comJul 19 · 3 min read

Day 59: Why production AI is coordinated infrastructure

Inventory what a production AI system actually runs, and the model turns out to be one component among a dozen. Model routing, so the right model handles each task and fallbacks exist when one is degr

0

VKVamsi Krishnablog.vamsiannamreddy.comJul 19 · 3 min read

Day 58: Why governance belongs in the architecture

Run this test on any AI system you have in production: ask who owns it. A name, not a team, a person who answers when it misbehaves. If the room goes quiet, that system has an architecture gap. It jus

0

#production-ai

Search Hashnode

#production-ai

Explore Hashnode

Trending tags this week

Autonomy is a runtime decision, not a model decision

From Proof of Concept to Production: What AI Projects Actually Require

When MCP earns its overhead, and when a direct API is better

A clean connector does not make a reliable agent

Where your MCP server runs is a production decision

Tools, resources and prompts are not interchangeable

What the MCP protocol actually standardises

Day 60: From model demos to mission-ready AI systems

Day 59: Why production AI is coordinated infrastructure

Day 58: Why governance belongs in the architecture