Rethinking Jira, Confluence, and Git for Multi-Layer Products Software teams have spent the last decade debating where requirements should live. Jira and Confluence became the default answer for most organizations — until AI-assisted development started exposing real cracks in that model. With coding agents now consuming, generating, and acting on requirements directly, it’s worth revisiting […]
Read More →If an AI agent writes most of your code and you feel like you’re learning less, you’re looking in the wrong place. Agents now absorb the syntax errors, library quirks, and API docs. What’s left, and what an agent can’t judge for you, is the system around the code. Your job is knowing whether what […]
Read More →Your security tools all speak different languages. SARIF makes them speak one. Table of Contents The Problem Picture a typical engineering team. They run a linter for code style, a SAST tool for security bugs, a secrets scanner, a container scanner, and maybe an infrastructure-as-code checker. Five tools. Five output formats. One tool spits out […]
Read More →A claim has been making the rounds in AI coding circles: stop prompting your coding agents and start designing loops that prompt them for you. Like most things, it gets repeated far more than it gets explained. This is the practical version — what an agent loop is, why it matters, and what one actually […]
Read More →Claude Code isn’t a chatbot that suggests code. It’s an autonomous agent that inhabits your terminal, reads your entire codebase, runs commands, edits files, commits changes, and iterates until the job is done — all from a single natural language instruction. Table of contents The Fundamental Shift: From Autocomplete to Autonomous Agent To understand what […]
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