# Development Practices

Published articles for Development Practices.

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## How to Decide How Much Authorship AI Should Have in Software Work

DevFeed: [How to Decide How Much Authorship AI Should Have in Software Work](<https://devfeed.tech/articles/use-curiosity-craft-and-care-to-decide-what-ai-should-write-41359.md>)

Original publisher: [Read original article](<https://spin.atomicobject.com/ai-authorship/>)

Author: Kyle Humphrey

Published: 2026-09-17T12:00:32Z

Content type: opinion

Language: en

Sources: [Atomic Object](<https://devfeed.tech/sources/atomic-object.md>)

Topics: [agentic-engineering](<https://devfeed.tech/topics/agentic-engineering.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [implementation](<https://devfeed.tech/topics/implementation.md>), [Software](<https://devfeed.tech/topics/software.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-engineering](<https://devfeed.tech/tags/agentic-engineering.md>), [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [development-practices](<https://devfeed.tech/tags/development-practices.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [implementation](<https://devfeed.tech/tags/implementation.md>), [ownership](<https://devfeed.tech/tags/ownership.md>), [software](<https://devfeed.tech/tags/software.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

This commentary examines how AI-generated meeting summaries, backlog items, and implementation work can introduce vocabulary, decisions, scope, and structure that a team does not recognize or own. It argues that the artifact's purpose should guide how much authorship is delegated to AI, using Curiosity, Craft, and Care as principles for making that decision.

### Source excerpt

Atomic's Agentic Engineering for Teams describes how work moves through a product backlog, definition, planning, implementation, and review when agents do much of the building. While working with a small team during a Research, Design, and Planning (RDP) engagement, I started paying attention to a smaller decision inside that process: how much authorship we give [...] The post Use Curiosity, Craft, and Care to Decide What AI Should Write appeared first on Atomic Spin.

## Speeding Up Azure Durable Functions with Fan-Out/Fan-In and a Higher Concurrency Limit

DevFeed: [Speeding Up Azure Durable Functions with Fan-Out/Fan-In and a Higher Concurrency Limit](<https://devfeed.tech/articles/2-changes-made-our-azure-durable-functions-3x-faster-32183.md>)

Original publisher: [Read original article](<https://spin.atomicobject.com/azure-durable-functions-3x/>)

Author: Michael Li

Published: 2026-09-14T12:00:32Z

Content type: tutorial

Language: en

Sources: [Atomic Object](<https://devfeed.tech/sources/atomic-object.md>)

Topics: [Azure](<https://devfeed.tech/topics/azure.md>), [Concurrent Programming](<https://devfeed.tech/topics/concurrent-programming.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [apis](<https://devfeed.tech/tags/apis.md>), [azure](<https://devfeed.tech/tags/azure.md>), [azure-functions](<https://devfeed.tech/tags/azure-functions.md>), [batch](<https://devfeed.tech/tags/batch.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [development-practices](<https://devfeed.tech/tags/development-practices.md>), [file](<https://devfeed.tech/tags/file.md>), [storage](<https://devfeed.tech/tags/storage.md>)

### AI overview

An Azure Durable Functions batch job was accelerated by combining fan-out/fan-in orchestration with a higher function-host concurrency limit. Together, the changes reduced a representative run from about 710 seconds to about 240 seconds.

### Source excerpt

For one of our projects, we run a nightly job that generates a batch of files. It's a long process: pulling records from an upstream system, calling several APIs to gather info about each one, generating a file per record, and writing the results back to storage. For a small batch, this works fine, but [...] The post 2 Changes Made Our Azure Durable Functions 3X Faster appeared first on Atomic Spin.