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Live + Practical Product Owner Toolkit

Prompts for Product Owners

A field-tested prompt set for Product Owners to clarify product decisions, sharpen backlog conversations, and improve stakeholder alignment without turning product work into “prompt theater.”

Learning Path - Members

1 Jul 2026

5 Things AI Changed in Software Development This Week

5 Things AI Changed in Software Development This Week

This week, five real AI releases changed something about how software teams work:

→ Jira can now assign a ticket straight to an AI coding agent → JetBrains added Claude as a selectable agent, next to GitHub's own models → OpenAI is now paying human security engineers to help AI patch open-source code → Gemini 3.5 Flash can click around your actual screen → A locked-down preview of GPT-5.6 shows where every AI lab is headed next

Full breakdown, with sources and what it means for your sprint, in this week's issue.

Author: Rod Claar
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Article rating: No rating

29 Apr 2026

The Top 5 AI Changes Hitting Software Development for the Week of April 27, 2026

The Top 5 AI Changes Hitting Software Development for the Week of April 27, 2026

The article argues that recent AI advances are moving software development from simple code completion to agent-driven delivery. AI tools are now better at planning, editing code, testing, debugging, reviewing, and creating pull requests across larger codebases.

The five main changes are:

  1. AI coding agents are handling more complex engineering work, which means teams need clearer backlog items, acceptance criteria, constraints, and tests.
  2. AI agents are entering enterprise infrastructure, so organizations must create rules for repo access, data use, security, compliance, and human review.
  3. IDEs are becoming control rooms for remote agents, shifting developers toward task delegation, review, and decision-making rather than writing every line of code themselves.
  4. AI coding cost is becoming part of planning, as usage-based billing makes agent activity a budget concern.
  5. New research shows AI agents are powerful but risky, with generated code often needing correction and potentially introducing security issues.

The central message is that Scrum and Agile practices become more important, not less. Teams that succeed will use AI deliberately, with tight feedback loops, visible acceptance criteria, strong review practices, automated tests, and clear working agreements.

Author: Rod Claar
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Article rating: No rating

6 May 2026

What Changed in Software Development This Week Because of AI

What Changed in Software Development This Week Because of AI

This week brought five major developments at the intersection of AI and software development. IBM made its full-lifecycle AI development partner, Bob, generally available — reporting 45% productivity gains across 80,000 internal users. ServiceNow expanded its Autonomous Workforce at Knowledge 2026, with AI specialists now handling entire IT, CRM, HR, and security workflows end-to-end, resolving cases 99% faster than human agents. Stanford's 2026 AI Index delivered independent data showing a 26% productivity gain in software development alongside a nearly 20% drop in junior developer employment — and a jump in AI coding benchmark performance from 60% to near 100% in a single year. Three thousand developers gathered in San Francisco at AI Dev 26 x SF to wrestle with what software engineering even means now, landing on a shared conclusion: the bottleneck is no longer writing code, it's imagination. And IBM Think 2026 in Boston unveiled 150 prebuilt enterprise agents in watsonx Orchestrate, an AI operations platform for hybrid environments, and a new security tool that embeds vulnerability detection directly into the developer workflow. Each story carries a direct signal for Scrum and Agile teams navigating this shift.

Author: Rod Claar
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Article rating: No rating

2 Jun 2026

What Changed in Software Development This Week Because of AI

Five facts from the past week — a stronger Claude, metered Copilot billing, a cheap new Grok coding model, a more autonomous Cursor, and a permanent DeepSeek price cut — and what each means for your Scrum team.

Author: Rod Claar
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Article rating: No rating

16 Jun 2026

What Changed in Software Development This Week Because of AI

What Changed in Software Development This Week Because of AI

The week of June 9–16, 2026 delivered five developments that will change how software teams work. Anthropic released Claude Fable 5, its most capable model ever made public. Stripe reported that Fable 5 completed a 50-million-line Ruby codebase migration in a single day — work estimated at more than two months for a full engineering team. The model scored 80.3% on SWE-Bench Pro, roughly 11 points ahead of its nearest competitor.

GitHub moved Agentic Workflows to public preview, allowing teams to define CI automations — issue triage, failure analysis, documentation updates — in plain Markdown rather than YAML. Those workflows compile into standard GitHub Actions and run with read-only permissions and sandboxed execution by default.

GitHub also gave organization administrators a single runner setting for Copilot code review that applies across all repositories, and removed the 4,000-character ceiling on the custom instructions file teams use to encode their own coding standards into the AI reviewer.

At WWDC 2026, Apple introduced a Swift protocol that lets developers swap between Apple's on-device model, Google Gemini, and Claude through a package dependency — no session code changes required.

Author: Rod Claar
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Article rating: No rating
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PromtDatabase

🔒 Private • In-Browser • Fast

Prompt Database

A fast, private prompt manager that lives entirely in your browser. Save your best prompts, add tags and categories, version them, and copy with one click. No accounts, no servers, no waiting.

  • Local-first: uses your browser database (IndexedDB)—your prompts stay on your device.
  • Lightning search across titles, tags, categories, and full text.
  • Import/Export JSON for backup or team sharing.
Screenshot of Prompt Database app showing prompt list, categories, and editor
Runs locally in your browser. No sign-in required.

Why Prompt Database

Keep your best prompts organized and at your fingertips

Local-First & Private

All data is stored using your browser’s IndexedDB. Nothing leaves your machine unless you export it.

Turbo Search & Tags

Find prompts instantly by title, tags, categories, or full-text content. Create custom fields to fit your workflow.

Versioning & History

Iterate safely. Keep older versions, compare changes, and roll back anytime.

One-Click Copy

Copy to clipboard with smart formatting—ready for ChatGPT, Claude, Gemini, or your custom tools.

Import / Export

Backup your library or share with a team as portable JSON. Optional CSV export for auditing.

Works Offline

Open your browser and you’re good to go—even without an internet connection.

How it Works

Runs entirely in your browser using IndexedDB

// Minimal record
{
  "id": "uuid",
  "title": "AI Image for Visual Learning Books",
  "text": "Generate a full-page, professional-quality...",
  "tags": ["image-generation","education","visual-guide"],
  "category": "Image Generation",
  "updatedAt": "2025-10-22T10:00:00Z",
  "version": 7
}
  • IndexedDB provides fast, structured local storage with excellent performance for thousands of prompts.
  • Service Worker (optional) caches the app shell for offline use.
  • Export/Import to JSON ensures portability and team collaboration.
  • No vendor lock-in: your content is yours.

Start in 3 steps

Get your library organized today

  1. 1Open Prompt Database on AgileAIDev.com.
  2. 2Create your first Category (e.g., “Writing Tutors”, “System Prompts”, “Image Prompts”).
  3. 3Add a prompt, tag it, and Copy with one click when you need it.

Use Cases

Built for trainers, teams, and power users

Training & Workshops

Keep curated prompt sets per module. Share an export with students to accelerate practice.

Team Libraries

Standardize high-quality prompts across squads and roles—PM, Dev, QA, Marketing.

Personal Knowledge Base

Store your golden prompts, experiments, and variations in one place—searchable and ready.

FAQ

Answers to common questions

Where is my data stored?

Your prompts are stored in your browser’s local database (IndexedDB) on your device. Nothing is uploaded to a server.

Can I back up or move my prompts to another machine?

Yes. Use Export to save a JSON file and Import it on another device or share with teammates.

Does it work offline?

Yes. After the first load, the app can run offline (if caching is enabled). Your data is already local.

Is there a cost?

Core features are free. Advanced team features (cloud sync, roles) may be added later.

© Effective Agile Development · Built with a privacy-first, local-first philosophy.

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