Roadmap

Welcome to the official Boundline Roadmap. Here we track the evolution of our Bounded Cognitive Runtime.

Vision

The goal of Boundline is to transform non-deterministic AI iterations into predictable, traceable, and governable software delivery processes.

Upcoming Features & Topics

Large Codebase Context Substrate: Handling long-term context limits, lazy hash references for huge files, and anchored hunks for large-file edits.
Sandboxed Execution & Secret Inheritance: Local safety boundaries, path/network policies, and read-only/dry-run mutation modes.

External Capability Provider Protocol: A native provider contract replacing MCP, defining explicit permissions, health checks, and evidence collection.
Open Model Provider Support: Treating Qwen, Gemma, and Llama models as open-weight families exposed through secure provider adapters.
AI Gateway & Inference Economics: Managing route health, local vs remote transmission decisions, route budgets, and latency telemetry.

Plan Quality & Backlog Contracts: Strict execution gates for planning UX and backlog execution.
Evals & Runtime Observability: Local quality layers, JSONL trace exports, deterministic scoring, and provider evaluations.
Recursive Stage Refinement Profiles: Sequential planning profiles (planner -> critic -> finalizer) tightly governed by councils and stop semantics.

Do you have suggestions? Open an issue on our GitHub repository and help us shape the future of Boundline!