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Feature index

This index maps the implemented public surfaces to their detailed guides. For exact installed-version flags and subcommands use slmcode --help and slmcode <command> --help. For the complete configuration field catalog use slmcode config schema; configuration explains precedence and persistence. The slmcode docs command reads project documents, not this website.

Work from a request to a verified change

Capability Entry points Guide
Install, upgrade and offline use Installers, init, update, version Installation, offline installation, quick start
Interactive coding Default command, tui, chat TUI and chat, user guide
Run or watch a project run, watch CLI, recipes
Browser interface and live events studio; run setup, Live floor, board, settings Studio
Plans, tasks and human steering plan, board, task, compose, plan/clarify/escalate gates CLI, pipeline, teams
Review, stage or discard edits diff, apply, reject, commit CLI review commands, permissions
Continue or inspect work session, status, task show CLI, user guide

Configure the harness

Capability Entry points Guide
Discover and configure a served model configure, config, auth, doctor, readiness Providers, configuration, troubleshooting
Model context and runtime calibration calibrate, model profiles Calibration, decoding
Agents, skills and reusable building blocks agent, skills, blocks, stack Agents, skills, blocks, customization
Team composition and specialist ownership Dynamic/strict teams, team pins, compose Teams, pipeline
Frontend workflows Frontend method, skills and specialist roles Frontend
External tools and lifecycle integrations MCP configuration, hooks trust/list commands Tools, customization, permissions
Structured responses and tool discipline Role schemas, constrained decoding, bounded tools Decoding, tools, conventions
External model predictions laya_* config; native Laya or OpenAI-compatible server Decision models
Shell completion completion CLI completions

Context, memory and improvement

Capability Entry points Guide
Token budgets, repository context and retrieval context, docs, context packs, repository map Context engineering, architecture
Persistent memory and forgetting memory Self-improvement and memory
Adaptive policies and regression history evolve, metrics Self-improvement, CLI
Repository knowledge graph graph Knowledge graph
Evaluation and bounded experiments eval, autoresearch Testing, autoresearch, SLM learnings

Adaptive harness policies and stored lessons are distinct from training neural weights. The optional external decision model does not automatically train or replace itself. Its role and limits are documented on the decision-model page.

Operation and release

See the dated release qualification record for verified checks and qualification limits from the latest audit.