Context disappears
Important reasoning remains trapped in one chat or session, making work difficult to resume or hand over.
Open-source delivery system for AI-assisted work
Move faster.
Keep the work understandable.
AgentFlow SDLC gives people and AI a shared way to move software work from idea to review—without losing the decisions, checks, and context along the way.
The problem
AI can produce work quickly. Trust still takes a system.
A useful AI assistant can write code in minutes. But teams still need to know what was requested, why a choice was made, what changed, what was checked, and who should review it.
The goal is not more AI activity.
It is reliable delivery with less cognitive overhead.
It is reliable delivery with less cognitive overhead.
Review arrives too late
Architecture, testing, documentation, and risk questions appear after the work is already expensive to change.
Every run invents a process
People spend energy remembering branches, handoffs, checks, and release rules instead of solving the actual problem.
How it works
A visible path from question to confidence.
The framework adds a lightweight process layer around an existing software project. It does not replace your tools or dictate your technology stack.
Clarify the work
Turn the request into a bounded problem with acceptance criteria and a clear definition of done.
Check the design
Surface system impact, risks, and decisions before implementation creates momentum in the wrong direction.
Build within guardrails
AI or people implement the agreed scope while hooks and validators catch workflow drift early.
Prove what works
Testing and review are recorded as evidence, including what was checked and what remains uncertain.
Leave a durable trail
Issues, handoffs, and pull requests retain the reasoning so the work can be reviewed, resumed, or audited later.
Keep humans in control
Routine checks can be automated; consequential decisions and high-assurance changes retain explicit human review.
A deliberate choice
Multi-agent when it helps. One agent when it does not.
The default is one executor carrying context end to end. Specialist routing is optional and explicit—because coordination overhead is real, and “more agents” is not automatically a better process.
What matters is role clarity: analysis, architecture, implementation, testing, review, documentation, and readiness each receive focused attention.
Reviewable
Decisions, validation, and handoffs live in durable project records.
Resumable
Another person or session can understand where the work stands without reconstructing the entire conversation.
Adaptable
Works around an existing project and its conventions, with project-local configuration and safe update behavior.
Who it helps
For teams that want speed without opacity.
Especially useful when work spans several sessions or contributors, when evidence matters, or when the cost of a hidden assumption is high.
A good fit
Solo maintainers using AI heavily; teams coordinating several assistants or contributors; regulated or compliance-minded projects; organizations that want consistent PR evidence and human review gates.
Probably more than you need
A quick disposable prototype, a one-file experiment, or a project where no one needs to review, resume, maintain, or explain the work later.
Get started
Let an assistant inspect first.
The recommended onboarding path begins read-only. Your assistant inspects the project, preserves existing instructions, asks about your preferred workflow, and proposes the setup before anything is installed.