prelaunch q3 2026

Coding is becoming abundant, but we still lose time between a prompt and a change we can trust. Arcplane keeps the team and AI agents in one workflow, from rough intent to confident delivery.

get build notes read the thesis

Software development is entropy reduction.

webhook retries are confusing

change accepted

build webhook retry history

webhook retries are confusing

build webhook retry history

change accepted

The work stays legible from plan to ship.

Arcplane keeps the plan, the branch, the review, and the proof of what shipped in one place, so the work can keep moving without losing context.

work.md select stage to inspect
context author intent · repo memory · docs · conventions

arcplane work

rough ask → scoped intent

Author and agent turn the loose request into scoped intent, open questions, and a ready next step.

choose the work shape

Choose a task loop or project loop; Arcplane derives the right path from that shape.

Authoring with the agent
Author
Agent
open question ?
Author

// yet another chat interface? no.

Chat should not contain the work. It should lead to it.

Agent work has to survive handoff, retry, review, and shipping. A chronological thread is a poor container for that. The work needs its own state, with conversation attached when it helps.

Arcplane keeps chat inside the workflow, not the other way around.

Rigorous when it matters. Quiet when it doesn’t.

Most agent work should happen in the background. Arcplane keeps agent runs moving until something needs a real call from the team: a policy was touched, evidence is missing, or the agent is about to decide something it shouldn’t.

Every decision can improve the next run.

The comment a reviewer left, the policy the team agreed on, the test that finally passed: these don’t live in your head or in old PR threads. They settle into the right memory layer, ready to become context when the next run needs it.

/* one last thing: the thesis. */

cat journal/software-is-not-solved.mdx

# Coding is solved? Software is not.

11 min the thesis, in long form

If coding is becoming solved, why does software still feel hard?A look at what AI agents change, and what they leave behind.
read the thesis

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