Wallfacer is an autonomous engineering platform.

Full autonomy when you trust it. Full control when you need it.

Wallfacer task board
or install via CLI
curl -fsSL https://latere.ai/wallfacer/install.sh | sh

Every AI coding tool today locks you into one interaction mode. Chat tools are fast but lose structure at scale. Spec-driven tools add discipline but slow you down on day one. Task boards help you coordinate but don't understand your architecture. Wallfacer connects all of these into a continuous workflow.

Adaptive abstraction

Chat for greenfield exploration, specs for complex systems, tasks for parallel execution, code for precise edits. Switch between levels as your project evolves.

Autonomy spectrum

Full autonomous loop (implement, test, commit, push) or intervene at any point. Dial autonomy per-task, per-spec, per-project.

Specs as IR

Ideas don't become code directly. They become structured specs that AI can reason about, iterate on, and implement from. Specs are versioned and reviewable.

Isolation by default

Every task gets its own container and git worktree for safe parallel execution. Multiple AIs work simultaneously without interference.

Operator visibility

Real-time logs, traces, timelines, diff review, and usage/cost tracking. Full audit trail from idea to deployed code.

Model flexibility

Claude Code, Codex, and custom sandbox configs. No lock-in to any single LLM vendor.

1

Explore

Describe what you want to build in a conversation. Wallfacer helps shape the idea.

2

Specify

Ideas become structured specs. Iterate until the design is right.

3

Execute

Specs decompose into tasks on a board. AI implements, tests, and commits in isolated sandboxes.

4

Ship

Reviewed changes merge automatically. Auto-commit, push, and build when ready.

Task board — managed execution

Coordinate multiple AI tasks on a kanban board. Drag cards across lifecycle stages, bulk-create and link dependencies, refine prompts before execution, and let autopilot promote backlog items as capacity frees. Each task runs in its own container and git worktree.

Wallfacer task board

Spec mode — structured design

Design before you build. The three-panel spec view gives you an explorer tree, a focused Markdown view, and a planning conversation. Break big ideas into structured specs, validate dependencies, and dispatch leaf specs to the task board once the design is right.

Wallfacer spec mode

Oversight — actionable audit trail

Before accepting any automated output, inspect what happened, when, and why. Each task produces a structured event timeline, a diff against the default branch, and an AI-generated oversight summary.

Wallfacer oversight

Cost & usage visibility

Track token usage and cost per task, activity, and turn so automation scales with measurable ops. Breakdowns by role (implement, test, refine, oversight) show exactly where budget goes.

Wallfacer usage and cost

Execution engine

Isolated containers, per-task git worktrees, worker reuse, safe parallel runs, circuit breakers, resource limits, dependency caching.

Autonomy loop

Prompt refinement, implementation, testing, auto-commit, autopilot promotion, auto-retry, cost/token budgets, failure triage.

Spec workflow

Structured design specs, five-state lifecycle, dependency DAG, recursive progress tracking, planning-conversation AI with slash commands.

Oversight layer

Real-time logs, timelines, traces, diff review, usage/cost visibility, per-turn breakdowns, task search, oversight summaries.

Repo operations

Multi-workspace groups, branch switching, sync/rebase helpers, auto-commit and push, task forking.

Dev tools

File browser and editor, interactive host terminal, prompt templates, system prompt customization.