GlueFatima Zahra Ghaddar
Technical Writer
Content strategist and writer specializing in developer experience, AI trends, and engineering productivity.
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.
Sprint Planning Without 3-Hour Meetings
AI-generated dev plans with file-level tasks based on actual codebase architecture. How to cut sprint planning overhead by 50%.
M&A Tech Due Diligence in 3 Days, Not 3 Months
How automated feature discovery and competitive gap analysis accelerate M&A technical evaluation from months to days.
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.
AI Development Productivity Tips: Avoid the 73% Failure Rate
Most AI tool adoptions fail to deliver ROI. Here are the productivity patterns that actually work for engineering teams.
What Engineering Leaders Get Wrong About AI Tool Adoption
Most teams measure AI tool success by adoption rate. The right metric is whether hard tickets get easier. Here's the framework that works.
Remote Engineering Teams: Solving the Knowledge Transfer Problem
Remote work broke ambient knowledge sharing. Here's how to rebuild it without forcing everyone back to the office.
How to Give Claude Code Full Project Context
Claude Code is powerful but limited by what it can see. Here's how to feed it codebase-level context for dramatically better results on complex tasks.
25 Best AI Coding Tools in 2026: GitHub Copilot vs Cursor vs Top Alternatives
Comprehensive comparison of the top AI coding tools — Copilot, Cursor, Claude Code, Cody, and more. Updated for 2026 with real benchmarks on complex codebases.
How AI Is Changing Technical Interviews (And Why It Should)
LeetCode doesn't predict job performance. Codebase navigation and system understanding do. How interviews should evolve for the AI era.
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.
AI Agents for Code: Build vs Buy in 2026
Every team considers building their own AI coding agent. Here's when it makes sense and when you should buy instead.
What Happens When Your Best Engineer Leaves
Knowledge concentration is a ticking time bomb. When a key engineer leaves, the blast radius extends far beyond their code.
Glue vs CodeSee vs Sourcegraph: Code Intelligence Compared
An honest comparison of code intelligence tools. What each does best, where each falls short, and how to choose.
Stop Building Random Features: How to Actually Do Competitive Analysis from Code
Most competitive analysis is guesswork based on marketing pages. Code-level gap analysis shows exactly what you have, what competitors have, and what it would cost to close the gap.