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engineering productivity

8 posts

blogengineer
08-Feb-2026

Glue.tools vs Competition: Complete 2025 Product Intelligence Comparison

Sourcegraph searches code. CodeSee maps architecture. Glue discovers what your codebase actually does — features, health, ownership — and why that matters more.

blogengineer
08-Feb-2026

Why Claude Code Fails: AI Tools That Actually Work for Engineering Teams

Claude and Copilot fail on real codebases because they lack context. Here's why AI coding tools break down—and what actually works for complex engineering tasks.

blogengineer
08-Feb-2026

The AI Development Productivity Mistake Killing Engineering Teams

AI coding tools promise 10x productivity but deliver 10x confusion instead. The problem isn't the AI—it's the missing context layer your team ignored.

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.

blogcto
05-Feb-2026

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%.

Fatima Zahra Ghaddar
blogcto
04-Feb-2026

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.

Fatima Zahra Ghaddar
guidecto
02-Feb-2026

Spec Drift Detection: Stop Building Features Nobody Asked For

How spec drift silently derails engineering teams and how to detect it before you ship the wrong thing.

Tariro Mukandi
blogengineer
31-Jan-2026

The Developer Tool Stack in 2026: What's Changed

AI reshaped the developer tool landscape. Here's what the modern engineering stack looks like and where the gaps remain.

Vivian M. Otieno