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14 posts

blogengineer
08-Feb-2026

How to Use AI for User Stories: Complete Implementation Guide

AI can write user stories in seconds, but most are disconnected from your codebase. Here's how to generate stories that match your actual code capabilities.

blogcto
08-Feb-2026

How Top Engineering Teams Use Dependency Graphs to Ship Faster

Dependency graphs aren't just debugging tools. Smart teams use them to parallelize work, prevent merge conflicts, and cut release cycles by weeks.

blogpm
08-Feb-2026

AI-Driven Project Management: The Complete Playbook for Product Teams

Most AI project tools are glorified chatbots. Here's how to actually use AI to understand what's happening in your codebase and ship faster.

technicalengineer
08-Feb-2026

Building AI Coding Agents That Actually Understand Your Codebase

AI coding agents fail because they lack context. Here's how to give them the feature maps, call graphs, and ownership data they need to work.

blogcto
08-Feb-2026

Context-Aware Development Tools: The Mistake Killing 73% of Team Productivity

Your team's AI coding tools generate garbage because they're context-blind. Here's why 73% of AI code gets rejected and how context awareness fixes it.

guidecto
08-Feb-2026

The Ultimate Guide to Enterprise AI Context Management

AI coding assistants fail at scale because they lack context. Here's how to build a context graph that makes AI actually useful in enterprise codebases.

blogcto
05-Feb-2026

Measuring Technical Debt: Beyond SonarQube

Code quality scanners measure syntax. Real technical debt lives in architectural complexity, dependency rot, and knowledge concentration. Here's how to measure what matters.

Fatima Zahra Ghaddar
guidepm
04-Feb-2026

Building Roadmaps from Code Reality, Not Opinions

How to use discovered features, competitive gaps, and team capabilities to build data-driven roadmaps instead of opinion-driven ones.

Fatima Zahra Ghaddar
blogengineer
02-Feb-2026

Why Your Code Review Process Is Catching the Wrong Bugs

Code reviews catch style issues and obvious errors. They miss the architectural bugs that cause production incidents. Here's why, and how to fix it.

Vivian M. Otieno
guideengineer
30-Jan-2026

How to Use Glue with Cursor: The Context-First Workflow

A practical guide to combining Glue's codebase intelligence with Cursor's AI editing for a workflow that understands before it generates.

Tariro Mukandi
technicalengineer
30-Jan-2026

Monorepo vs Microservices: The Knowledge Management Perspective

The monorepo vs microservices debate usually focuses on build systems. The real difference is in how knowledge is distributed and discovered.

Tariro Mukandi
blogpm
28-Jan-2026

Competitive Intelligence from Code: How Gap Analysis Works

Automated competitive gap detection that scans competitor features and maps them against your codebase. Real intelligence, not guesswork.

Fatima Zahra Ghaddar
blogengineer
28-Jan-2026

Lovable vs Dev: Migration Comparison for AI-Powered Development Platforms

Side-by-side comparison of Lovable and Dev for AI-powered application building. When to use each and how they compare to code intelligence tools.

Vivian M. Otieno
guideengineer
26-Jan-2026

How to Use AI for Code Review Without Losing the Human Element

AI can flag dependency issues and style violations. Humans should focus on architecture, business logic, and mentoring. Here's how to split the work.

Vivian M. Otieno