# agentic-engineering Agentic engineering is the disciplined practice of using and overseeing AI agents to execute complex, multi-step software-development workflows. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 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]() Original publisher: [Read original article]() Author: Kyle Humphrey Published: 2026-09-17T12:00:32Z Content type: opinion Language: en Sources: [Atomic Object]() Topics: [agentic-engineering](), [Artificial Intelligence](), [implementation](), [Software]() Tags: [agentic](), [agentic-engineering](), [ai](), [artificial-intelligence](), [development-practices](), [engineering](), [implementation](), [ownership](), [software](), [workflow]() ### 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. ## Product Engineering for PMs, Part 3: Build a SaaS App Without Coding DevFeed: [Product Engineering for PMs, Part 3: Build a SaaS App Without Coding]() Original publisher: [Read original article]() Author: Paweł Huryn Published: 2026-09-14T19:12:58Z Content type: tutorial Language: en Sources: [The Product Compass]() Topics: [Software as a service](), [web applications](), [stripe](), [Firewall](), [Security](), [agentic-engineering]() Tags: [agentic](), [application](), [coding](), [firewall](), [payments](), [saas](), [saas-app](), [security]() ### AI overview A tutorial for product managers on building a multi-tenant SaaS web application without coding, including real Stripe payments, a web application firewall, and agentic reviews focused on logic, security, and performance. ### Source excerpt Enable real Stripe payments, add a web application firewall (Cloudflare or Netlify), and run agentic reviews of a real multi-tenant SaaS app: logic, security, performance. No coding. ## Datasette 1.0a39 and 0.65.4 security releases DevFeed: [Datasette 1.0a39 and 0.65.4 security releases]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-11T03:27:16Z Content type: release Language: en Sources: [Simon Willison's Weblog]() Topics: [releases](), [Security](), [audit](), [AI-assisted coding](), [ai security](), [agentic-engineering](), [Generative AI](), [Large Language Model](), [Claude](), [gpt-6-astra]() Tags: [agentic-engineering](), [agentic-engineering-63](), [ai](), [ai-2-236](), [ai-security-research](), [ai-security-research-42](), [coding-agents](), [datasette](), [datasette-1-542](), [generative-ai](), [generative-ai-1-982](), [llms](), [llms-1-948](), [releases](), [releases-31](), [security](), [security-634](), [tests]() ### AI overview Datasette 1.0a39 and 0.65.4 are security patch releases for the alpha and stable series. They address issues found during an extensive audit, including instances that mix public and private tables. The audit used Claude Fable 5.1, GPT-5.6, and GPT-6 Astra alongside human review and automated tests. ### Source excerpt Datasette 1.0a39 and 0.65.4 security releases Today we're releasing two new security patch versions of Datasette: 1.0a39 and 0.65.4 - one for the current alpha series and one for the stable 0.65.x family. These are security fixes which you should apply if you are running a Datasette instance on the public web - in particular if that instance mixes both public and private tables. Following issues reported by Sevban Dönmez, Alex Garcia and I ran an extensive audit of Datasette using Claude Fable 5.1, GPT-5.6, and GPT-6 Astra. We then spent almost a week collaborating on and reviewing the fixes. They helped find some very subtle bugs. We'll be incorporating security audits by frontier models into all of our development work going forward. Alex came up with a way of splitting the work which I found extremely productive: Alex Garcia and I worked together running and then responding to the audit, working in a shared private repository. For most of the issues we split the work: one of us would create the automated tests highlighting the issue, then the other would implement the fix. This ensured that two separate humans had eyes on each of the issues, in addition to our coding agents running different models. Tags: releases, security, ai, datasette, generative-ai, llms, agentic-engineering, ai-security-research ## C31. AI-Native Practitioner PM DevFeed: [C31. AI-Native Practitioner PM]() Original publisher: [Read original article]() Author: Paweł Huryn Published: 2026-07-15T20:22:00Z Content type: article Language: en Sources: [The Product Compass]() Topics: [Artificial Intelligence](), [Claude](), [Claude Code](), [codex](), [agentic-engineering](), [Large Language Model]() Tags: [agentic](), [agentic-engineering](), [agents](), [ai](), [claude](), [claude-code](), [codex](), [guides]() ### AI overview This article introduces the C31 AI-Native Practitioner PM module and explains how it follows the C30 Claude and Codex Certified PM program. It outlines the certification path, including a knowledge test for C30 and planned exercises covering knowledge bases, agent memory, product discovery, prototyping, AI evaluations, and agentic engineering for C31. ### Source excerpt A complete path: live sessions, guides, , support, and your digital AI PM credentials. ## 19 Hands-On Video Guides for PMs DevFeed: [19 Hands-On Video Guides for PMs]() Original publisher: [Read original article]() Author: Paweł Huryn Published: 2026-07-14T14:51:34Z Content type: article Language: en Sources: [The Product Compass]() Topics: [Learning](), [Claude Code](), [codex](), [agentic-engineering](), [vs-code](), [Extension](), [Command-line interface](), [n8n](), [Multi Agent Systems]() Tags: [agentic-engineering](), [claude-code](), [cli](), [codex](), [cursor](), [engineering](), [extension](), [guides](), [learning](), [multi-agent-systems](), [n8n](), [video]() ### AI overview The article announces an Events Archive containing 19 recordings of AI product-management sessions, including demonstrations, question-and-answer segments, timestamps, free templates, and linked resources. It highlights three free sessions on Claude Cowork, Codex App, and Claude Code, and describes upcoming sessions and an AI PM Learning Program. It also reports the author's Grok Build for VS Code extension reaching more than 20,000 installs and about 1,400 daily active users. ### Source excerpt The Events Archive is live: Claude Code, Cowork, Codex, n8n, Lovable, and more. Start with the 3 free ones. ## Cosmos is a shared platform for coordinating AI agents across software development workflows DevFeed: [Cosmos is a shared platform for coordinating AI agents across software development workflows]() Original publisher: [Read original article]() Author: Jeff Morhous Published: 2026-06-24T10:16:51Z Content type: opinion Language: en Sources: [The AI-Augmented Engineer]() Topics: [Cosmos](), [agentic-engineering](), [AI Development](), [AI-assisted coding](), [Software Engineering]() Tags: [agent](), [agentic](), [agentic-engineering](), [ai](), [claude-code](), [engineering](), [generation](), [software-development](), [workflow]() ### AI overview The article argues that AI agents are moving software development beyond the IDE and that teams need an operating model for coordinating agent-driven work. It presents Cosmos, Augment's unified cloud agents platform, as a shared system for workflows including triage, specification, implementation, review, testing, deployment, and feedback. ### Source excerpt Cosmos is a new tool for AI-native engineering teams ## What Product Managers Review in Agentic Engineering DevFeed: [What Product Managers Review in Agentic Engineering]() Original publisher: [Read original article]() Author: Paweł Huryn Published: 2026-05-31T22:50:22Z Content type: opinion Language: en Sources: [The Product Compass]() Topics: [agentic-engineering](), [prompt](), [Job]() Tags: [agentic](), [agentic-engineering](), [engineering](), [prompt]() ### AI overview The article argues that product managers working with agentic engineering do not need to code, but should review the resulting artifacts. It also presents this as an evolving product-management responsibility and mentions a prompt pack. ### Source excerpt You don't have to code. What you review instead, why it's the PM job now, and the prompt pack for agentic engineering.