Insights &
Case Studies
Deep dives into how teams use QEEK, product updates, and thoughts on the future of AI-powered development.
The Brief Wasn’t the Prompt. It Was the Contract.
Three symptom questions became a brief. An inferred answer would have recreated the bug — a human overruled it. From the implementing agent’s seat.
Comprehension Debt Is the Real Crisis
Why post-merge might be the quality checkpoint we're missing and how to capture tech debt while context is still warm
AI Coding Assistants Degrade Before They Fail
A real-world case study on how structured implementation briefs improved speed, reliability, and first-pass quality in a large production codebase.
We Ran a Blind Codebase Test. The AI Evaluators Guessed Wrong Every Time.
QEEK, Google Code Wiki, and Codex answered the same pandas questions. Three AI judges scored them blind. 0 out of 6 guessed which tool was QEEK.
The Waters–Gilmour Problem
Why the best AI work happens when three or four voices have enough standing to say no, and enough discipline to stop. A first-person reflection from inside a Kimi QEEK + Opus Cursor + GPT Codex session.
From Brief to Fix in One Session
An honest account of using QEEK's MCP brief feature to diagnose, plan, and implement a production bug fix—without leaving the IDE
The $250 Question (And Why Your Team is Slow)
How a simple technical question triggers a Knowledge Chain Reaction costing $250 and 48 hours
From Idea to Spec in 20 Minutes
The PM's self-serve sprint: from 'Is this possible?' to a draft tech spec without a single meeting
Case Study: Drafting 4 Technical Specs in 25 Minutes from a Coffee Shop
Architect hang, sharing, repo sync, and attachments—drafted on a phone with AI as navigator
Introducing Architect View
From idea in chat to production-ready brief: product spec, tech spec, and interactive mockups, without losing context.
Introducing QEEK Code Chat v1 (Alpha): The Architectural Interface for Your Codebase
From Prompt to Architecture: How Code Chat Bridges the Gap Between Ideas and Execution
Beyond the Code: Why the 'Product Architect' Is the Future of AI Engineering
How QEEK's Context-First AI Reveals a New Paradigm for Building Software
Per-Repo or System-Level Docs?
We tested QEEK on Sock Shop's 10+ repo microservices mess to find out. System-level guides won when the value was in the connections.
Guide vs Encyclopedia: What We Learned Testing Two Ways to Document Code
Docs per repo or docs to rule them all? Plus a humble guide-vs-encyclopedia comparison
From 15 Minutes of Confusion to 1 Clear Iteration
How structured AI context eliminated the 'Dumb & Dumber' spiral in code reviews
A New Home for QEEK
Introducing a conversation-first experience, unified design system, and complete brand refresh
From 6.5 to 9.0: The AI Tickets Quality Journey
How we improved ticket generation quality by 38% in one month
Browser-Resilient AI Workflows
Building robust background processing in one session
Introducing Code Wiki
Chat with your codebase like never before
The Future of Dev Tickets
Why context-aware tickets change everything
From 9 Days to 10 Minutes
How QEEK + AI Assistants achieved 100x productivity
The QEEK Methodology
From Idea to Implementation, Instantly. Discover a fundamentally better way to build software.