Context engineering patterns and templates for AI coding agents — single-file through agent teams with Jira integration.
Context Engineering is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo clone fending/context-engineeringOpen or clone the template repository.
Move the relevant AGENTS.md content into your project root.
Update project-specific commands, environment rules, and sensitive areas.
Shows how to scale AI agent context from solo developer to team-level coordination with Jira integration.
Context engineering patterns and templates for AI coding agents — single-file through agent teams with Jira integration.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 87 days ago.
55 GitHub stars indicate community interest.
4 open issues signal maintenance load.
MIT license detected.
Team agent workflows
Context management
Jira integration requires API access
Review for data leakage
55
Stars
6
Forks
4
Issues
MIT
License
A drop-in AGENTS.md file that makes coding agents behave like senior engineers, eliminating sycophancy and forcing verification.
Convert and sync AI coding-agent rule files between formats with zero dependencies.
Generate AGENTS.md from your codebase in one command. Free, instant, no API key.
Context engineering patterns and templates for AI coding agents — single-file through agent teams with Jira integration.
Technical Leads
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Jira integration requires API access Review for data leakage
Similar or complementary options to evaluate include agents-md, agentsync, agentseed.
Jun 7, 2026
2 security/trust notes recorded.
Setup difficulty is 3/5.