Governed agentic delivery

Stop babysitting agents. Start governing delivery.

IssueFlow is the governance layer for AI coding agents — not another agent. Place human gates where your judgment matters, automate the triage and rework where it doesn't, and run it all on your own machines with the agents you already pay for.

Connect your repo See how it works

Bring your own agent Self-hosted workers GitHub-native

Governed run — live trace

An example workflow. Every stage & route is yours to design.

triageReproduce the report, root-cause it, decompose into concrete tasks.

claude-code

designDraft a technical spec against the codebase.

claude-code

design-reviewHuman gate — you approve the design before any code is written.

implementationAgent implements the approved spec on a worktree.

claude-code

validationRun the test suite. Outcome + reason drive what happens next.

copilot

implementation-reworkRemediation stage: charter + the failing result are fed back in.

claude-code

code-reviewAutomated review of the diff.

cursor

mergeMerge, then clean up the worktree.

claude-code

OPERATOR LOG

operator idle — press Run to trace a governed delivery

The Trust Paradox

You use agents more than ever — and trust them less with every commit.

Agents are fast but context-poor. Most tools gate at the pull request — the moment the leverage has already passed — and give you no control over what actually matters: the domain model, the abstraction, the architecture. The high-leverage gate is at the design, before a line of code is written.

“Fully autonomous coding.”Governed agentic delivery.

“AI that replaces engineers.”Human-in-the-loop, by config.

“Scalable AI workforce.”A fleet of your own workers.

“Error-free AI magic.”A self-healing supervisor.

Your pipeline, your rules

Design the workflow. IssueFlow enforces the rails.

Stages, names, and routes are all yours. Assign a framework to each stage, place human gates exactly where judgment is mandatory, and route on failure reasons so the pipeline corrects itself. IssueFlow ships template workflows to get you moving — then gets out of your way.

Config lives in your repo, written for you by the portal — no hand-edited YAML.
Validated routing graph with conditional edges, rework loops, and an escalation ladder.
Assign any framework per stage — claude-code, copilot, cursor, your own.

The IssueFlow workflow designer showing a real solution's routing graph with pass/fail edges, conditional routes, and an escalation ladder — A real solution's workflow — validated, with pass/fail edges, conditional routes, and human gates.

The IssueFlow operator console listing runs across solutions, grouped by repository, with status, stage, and hold state — The operator console — every run across your solutions, with status, stage, and holds.

Control from anywhere

Watch it — or steer it — from wherever you are.

Monitor every run, attempt, and escalation from the portal. Pause a flow, re-stage it, cancel it, or approve a gate — from the console, or, if you prefer, a comment on the SCM issue. Governance meets you where you are.

Portal: Issues, Waiting on you, Escalations, Analytics, Workers — pause, re-stage, cancel.
Or a comment: resolve a gate right from the SCM issue with [hr:go] / [hr:fail].

Visibility

Every run, every worker — measured.

Outcomes, durations, and failure breakdowns across thousands of runs — and your self-hosted fleet, live. The audit trail is the product.

IssueFlow analytics — run counts, average and max durations, outcomes, statuses, per-stage counts, and failure categories — Analytics · outcomes, durations & failure categories

IssueFlow workers — a self-hosted fleet with per-worker frameworks, assignments, and live heartbeat — Workers · your self-hosted fleet, live

What you get

The months of hardening it takes to make agent loops production-grade.

Full-lifecycle triage

Starts at the report, not the coding moment. Reproduces, root-causes, and decomposes vague issues into concrete tasks — only inside repos on your allowlist.

Design-first human gates

Put the human checkpoint where judgment matters. Approve the design before implementation — from the portal or a GitHub comment.

Bring your own agent

IssueFlow ships no agent or LLM. Define your frameworks in config and assign one per stage — Claude Code, Copilot, Cursor, or your own.

Self-healing supervisor

A reconciler continuously watches every run, recovers lost or stalled workers, and re-queues attempts — without you touching a terminal.

Failure-aware routing

Every stage emits an outcome; a failure carries a reason. Route on that reason to a remediation stage, with attempt limits and escalation.

Governed, not autonomous

Every run is gated, resolvable, and auditable — nothing is fire-and-forget. Trustworthy control is the promise; the recovery and escalation stack is the reason to believe.

Recursive proof

IssueFlow builds itself — and a real multi-repo product.

The strongest proof is dogfooding. IssueFlow runs its own engineering through its own governed pipeline, and it runs delivery for Aligned On Purpose — a real, multi-repository product. Every change is triaged, gated at design, implemented, validated, and merged through the same rails you'd use.

“We aren't building an autonomous engineer. We're building the governance layer that keeps your agents on rails.”

A real IssueFlow run: a 13-attempt trace where validation failed at step 5 and was automatically reworked at step 6 before passing and merging — A real run: validation FAILED at step 5 → auto-reworked at step 6 → PASSED, then merged.

Built with IssueFlow

Aligned On Purpose — a sophisticated product, shipped through the pipeline.

Not a to-do demo. AOP is a real, multi-repository product — a live AI coaching flow, a value-implementation matrix, an editorial foundation — triaged, designed, implemented, and merged through IssueFlow's governed pipeline.

Aligned On Purpose — a live, moderated AI coaching session surfacing value insights in real time — AOP · Live AI coaching

Aligned On Purpose — Business Aspects and Value Implementation Matrix, a rich interactive grid — AOP · Value Implementation Matrix

Aligned On Purpose — company foundation: purpose, values, and vision — AOP · Foundation review

Up and running

Configure in the portal. Attach a worker. Go.

1Sign in: Continue with GitHub from the portal to create your tenant.
2Connect: Install the IssueFlow app on the repositories you choose.
3Pick a template: Choose a workflow; the portal commits the config to your repo — no YAML by hand.
4Attach a worker: Run the one-line command the portal gives you to enroll a worker on your own machine.
5Go: Add the trigger label and your governed pipeline starts shipping.