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Fullsend

Fully autonomous software development for the konflux-ci organization.

What is this?

This repo is a living design document exploring how to get from the current state of development across konflux-ci to a fully-agentic workflow with zero human intervention for routine changes. The goal is agents that can triage issues, implement solutions, review code, and merge to production autonomously — while being secure by design.

This is not a product spec. It's an evolving exploration of a hard problem space, meant to rally the konflux-ci contributor community around the vision and invite experimentation and contribution.

What's here

  • docs/vision.md — The big picture: what we're trying to achieve and why
  • docs/problems/ — Deep dives into each major problem domain, each evolving independently:
    • Intent Representation — How do we capture, verify, and enforce what changes are wanted?
    • Security Threat Model — Prompt injection, insider threats, agent drift, supply chain attacks
    • Agent Architecture — What agents exist, what authority do they have, how do they interact?
    • Autonomy Spectrum — When to auto-merge vs. escalate to humans
    • Governance — Who controls the agents and their configuration?
    • Repo Readiness — Test coverage, CI/CD maturity, what's needed before agents can be trusted
    • Code Review — How agents review code, including security-focused sub-agents
    • Architectural Invariants — Enforcing things that must always be true, grounded in the existing architecture repo
    • Agent-Compatible Code — Language properties that affect agent effectiveness
    • Codebase Context — How agents acquire codebase understanding and how to structure org-level context
  • docs/landscape.md — Survey of existing AI code review tools and how they relate to our goals (time-sensitive — check the date)
  • docs/experiments/ — Logs and results from trying things in practice

How to contribute

Pick a problem area that interests you. Read the existing document. Add your perspective, propose solutions, poke holes in existing proposals. Open a PR.

If you want to run an experiment — try an agent workflow in a repo, test a security guardrail, prototype an intent system — document what you did and what you learned in docs/experiments/.

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Vision for fully autonomous agentic engineering

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