Blog

Many teams invest heavily in AI coding tools expecting faster delivery but without the right processes, these tools can fail to deliver. Here's how to fix it.

How a local Qwen3.8 27b agent named Echo reverse-engineered two abandoned 2013 Android games — Delver and Flappy Bird — into signed, modern APKs.

AI-generated JIRA tickets and PRs have become word walls. Here's why your automation needs both a human summary and a machine-readable payload.

Practical techniques for giving AI agents the context they need: AGENTS.md files, documentation strategies, and plan mode workflows.

Gitflow is now a legacy workflow that bakes unplanned merge work into your sprints. Here's why to drop it for trunk-based development.

Compare GLM, Qwen, and Gemma local LLMs - benchmarks, context sizing, and when home GPU inference beats cloud token costs.

How Claude Code hooks create mechanical enforcement at commit time — blocking violations, injecting warnings, and coaching better habits before code ever reaches review.

Back-testing across three projects shows forecasting accuracy rises with team autonomy, controlled WIP, and data-driven flow management.

Essential resources for mastering agentic AI development — core concepts and guides for GitHub Copilot, Claude Code, Cursor, and OpenAI Codex.

How treating AI tooling like a distracted junior developer resulted in production-quality software