Tooling 7 min
AI for Shell Scripts: Getting Safe, Correct Bash from an LLM
How to prompt AI for shell scripts that handle errors, edge cases, and environment differences — and how to validate the output before you trust it.
0degrees Team
[ Topic ]
Tooling
The frameworks, SDKs and dev tools that ship AI faster.
Tooling 7 min
Multi-Model AI Coding Workflows: Routing Tasks to the Right Model
Most developers default to one model for everything. Here's a practical framework for matching each coding task to the right model — cutting costs without sacrificing quality.
0degrees Team
Tooling 7 min
Writing a CLAUDE.md That Actually Changes How Your AI Codes
How to write a project instruction file that reliably steers AI coding assistants toward your conventions — what to include, what to leave out, and how to test it works.
0degrees Team
Tooling 6 min
When AI Invents APIs: Handling Code Hallucinations in Practice
How to recognize, prevent, and recover from AI-generated code that confidently calls methods, packages, or APIs that don't exist.
0degrees Team
Tooling 7 min
Prompting AI for CI/CD: Writing Pipelines That Actually Deploy
How to give AI coding assistants the context they need to write GitHub Actions, Dockerfiles, and CI pipelines that work — not just pipelines that look like they work.
Josh
Tooling 7 min
Documenting Code with AI: Keeping Docs Honest
How to get AI coding assistants to write documentation that accurately reflects your code — not plausible-sounding summaries that drift from reality.
0degrees Team
Tooling 7 min
AI-Assisted Git: Writing Better Commits and PR Descriptions
How to use AI to write commit messages, pull request descriptions, and changelogs that actually communicate intent — and where the workflow breaks down.
Josh
Tooling 7 min
Using AI to Review Your Own Code Before It Ships
How to use AI coding assistants as a first-pass code reviewer — prompting for real feedback on code you wrote, interpreting what it finds, and fitting it into your workflow.
0degrees Team
Tooling 7 min
Briefing AI on Your Codebase: The Architecture Context That Actually Matters
How to give an AI coding assistant exactly the architectural context it needs to write code that fits your project — without overwhelming it with noise.
0degrees Team
Tooling 7 min
Upgrading Dependencies with AI: A Systematic Migration Workflow
How to use AI coding assistants to navigate major library upgrades — feeding changelogs, mapping the breaking change surface, and validating the result.
Josh
Tooling 7 min
Using AI to Explore Unfamiliar Codebases
How to use AI coding assistants as a guide when navigating code you didn't write — from getting an architectural overview to tracing execution paths.
Josh
Tooling 6 min
Refactoring with AI: A Step-by-Step Strategy for Modernizing Legacy Code
How to use AI coding assistants for safe, incremental refactoring — scoping the work, writing safety tests, reviewing generated diffs, and avoiding common pitfalls.
Josh
Tooling 7 min
Managing Context in Long AI Coding Sessions
How to keep AI coding assistants accurate across a long feature branch — when to trim, reset, and summarize context so the model stays focused.
Josh
Tooling 6 min
Debugging with LLMs: Give the Model What It Can't Guess
How to structure debugging sessions with an AI assistant — what runtime context to share, how to frame the problem, and how to verify a diagnosis before patching.
Josh