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Agentic Workflows

A collection of 12 posts

The MCP Versioning Crisis: Why Enterprise Agentic Workflows Are Forcing Backend Engineers to Rewrite the Rules in 2026

Model Context Protocol

The MCP Versioning Crisis: Why Enterprise Agentic Workflows Are Forcing Backend Engineers to Rewrite the Rules in 2026

There is a quiet crisis unfolding in the backend infrastructure of enterprise AI teams right now, and most organizations won't feel it until a production deployment breaks in the worst possible way. Anthropic's Model Context Protocol (MCP) has crossed a critical threshold in 2026: it is

FAQ: Why Enterprise Platform Teams Are Rethinking Multi-Agent Workflow Rollback Strategies in 2026

FAQ: Why Enterprise Platform Teams Are Rethinking Multi-Agent Workflow Rollback Strategies in 2026

Agentic AI is no longer a prototype in a sandbox. As of early 2026, enterprise platform teams are running multi-agent workflows that autonomously browse the web, write and execute code, call third-party APIs, mutate database records, send emails, trigger financial transactions, and provision cloud infrastructure. According to Deloitte's

Synchronous vs. Asynchronous Agentic Workflow Execution: Which Model Holds Up When Per-Tenant Task Queues Spike Beyond Foundation Model Throughput Limits

Agentic Workflows

Synchronous vs. Asynchronous Agentic Workflow Execution: Which Model Holds Up When Per-Tenant Task Queues Spike Beyond Foundation Model Throughput Limits

Here is a scenario that every platform engineering team running multi-tenant AI infrastructure has either already lived through or is about to: it's 9:07 AM on a Tuesday, three of your largest enterprise tenants simultaneously trigger high-volume agentic pipelines, and within 90 seconds your foundation model provider

How One Platform Team Discovered Their Multi-Agent Workflow Checkpointing Strategy Was Silently Corrupting Long-Running Task State During Foundation Model Failovers , And Rebuilt Their Recovery Architecture From Scratch

multi-agent systems

How One Platform Team Discovered Their Multi-Agent Workflow Checkpointing Strategy Was Silently Corrupting Long-Running Task State During Foundation Model Failovers , And Rebuilt Their Recovery Architecture From Scratch

When the platform engineering team at a mid-sized fintech company (we will call them Meridian Financial Labs) first deployed their multi-agent orchestration layer in late 2024, everything looked fine on the surface. Pipelines completed. Dashboards were green. SLAs were being met. It was not until a routine audit of their

FAQ: Why Enterprise Security Teams Are Demanding Cryptographic Proof of AI Agent Identity in 2026 (And What Backend Engineers Must Do About It)

FAQ: Why Enterprise Security Teams Are Demanding Cryptographic Proof of AI Agent Identity in 2026 (And What Backend Engineers Must Do About It)

If you have been building multi-step agentic workflows in the past year, you have almost certainly hit a new wall: a security review that stops your deployment cold and asks a question that did not exist two years ago. The question is something like: "Can this AI agent cryptographically

How Per-Tenant AI Agent Memory Persistence Actually Works (And Quietly Fails) in 2026

How Per-Tenant AI Agent Memory Persistence Actually Works (And Quietly Fails) in 2026

There is a silent crisis unfolding inside enterprise agentic systems right now, and most engineering teams are not catching it until it is far too late. Your long-running AI agents are losing tenant context. Not dramatically, not in ways that trigger alerts, but in small, compounding ways that corrupt the

5 Myths Backend Engineers Believe About Per-Tenant AI Agent Schema Versioning That Are Silently Breaking Long-Running Agentic Workflows Across Foundation Model Upgrades in 2026

5 Myths Backend Engineers Believe About Per-Tenant AI Agent Schema Versioning That Are Silently Breaking Long-Running Agentic Workflows Across Foundation Model Upgrades in 2026

It starts as a quiet anomaly. A tenant's long-running agentic workflow, one that had been reliably orchestrating document processing, tool calls, and memory retrieval for weeks, suddenly starts producing malformed outputs. No deployment happened. No configuration changed. The only thing that shifted was a silent foundation model upgrade

A Beginner's Guide to Per-Tenant AI Agent Memory Tiering: Choosing Between Short-Term, Long-Term, and Episodic Memory Stores

A Beginner's Guide to Per-Tenant AI Agent Memory Tiering: Choosing Between Short-Term, Long-Term, and Episodic Memory Stores

You've built a multi-tenant agentic platform. Your agents are running, your customers are onboarded, and everything looks great. Then, around month three, things start to get weird. Responses slow down. Agents start "forgetting" things they should know. Some tenants complain that their workflows feel sluggish, while

Per-Tenant AI Agent State Persistence: Redis vs. PostgreSQL for Long-Running Agentic Workflows at Multi-Tenant Scale

Per-Tenant AI Agent State Persistence: Redis vs. PostgreSQL for Long-Running Agentic Workflows at Multi-Tenant Scale

Something quietly broke in the standard AI infrastructure playbook the moment agentic workflows stopped being a novelty and became a production reality. In early 2026, teams are no longer asking whether their AI agents need durable memory. They are asking a far harder question: which backend can actually keep per-tenant

How Backend Engineers Should Redesign Per-Tenant AI Agent Observability Pipelines Over the Next 12 Months

AI Observability

How Backend Engineers Should Redesign Per-Tenant AI Agent Observability Pipelines Over the Next 12 Months

There is a quiet crisis unfolding inside the infrastructure teams of nearly every SaaS company that has shipped an AI-powered product in the last two years. The crisis is not a model accuracy problem. It is not a latency problem, exactly. It is a visibility problem, and it is getting

Your AI Agent's Retry Logic Is a Ticking Time Bomb (And Optimism Is the Fuse)

There is a quiet crisis unfolding in the backends of some of the most sophisticated AI-powered products being built right now. It does not announce itself with a stack trace. It does not trip a circuit breaker. It does not fire an alert at 2 a.m. It compounds, silently,

How to Audit and Refactor Your Team's Legacy REST APIs for AI Agent Compatibility: A Step-by-Step Guide

There is a quiet crisis happening inside engineering teams right now. On one side, product managers and executives are pushing hard to integrate AI agents into every corner of the business. On the other side, backend engineers are staring at REST APIs that were designed years ago, built for human-driven