multi-agent orchestration
Multi-Agent Orchestration: Claude Code, Cursor & Codex (2026)
How to use Claude Code, Cursor, and Codex together. A 2026 guide to multi-agent orchestration with a cross-agent context layer that makes team gains compound.
AGENTS.md
spec-driven development
Spec-Driven Development with AI Coding Agents (2026)
A 2026 guide to spec-driven development with AI coding agents: evidence-grounded specs, reusable team skills, and the context layer that stops agent drift.
AI coding observability
AI Coding Agent Observability: See What Your Team Did (2026)
AI coding observability is a searchable, shareable record of what your team's agents did. Learn how to track agent sessions across people, repos, and tools.
AI coding conventions
How to Standardize AI Coding Conventions Across Your Team (2026)
Codify AI coding conventions once and load them into every agent. A 2026 guide to AGENTS.md, reusable skill packs, and ZeroShot's bb CLI for B2B teams.
AI coding memory layer
AI Coding Memory Layers Compared: ContextPool, Graphiti, Recallium & ZeroShot (2026)
Compare ContextPool, Graphiti, Recallium & ZeroShot across 8 dimensions. See which AI coding memory layer fits solo devs vs teams in 2026.
GitHub Copilot alternatives
Best GitHub Copilot Alternatives for Engineering Teams (2026)
An honest 2026 comparison of GitHub Copilot alternatives — Cursor, Claude Code, Codex & more — plus the cross-agent context layer most teams overlook.
AI Coding
Token-Efficient AI Coding: Ship More Before Usage Limits (2026)
Cut AI coding token waste at team scale. Learn how shared context, reusable skills, and prompt caching help you ship more before hitting usage limits in 2026.
AI coding agent memory
Cross-Agent Session Memory: Resume Any AI Coding Session
Resume any AI coding session — yours or a teammate's — across Claude Code, Cursor, and Codex with bb agent-sessions resume. The cross-agent memory layer.
AI Coding
AI Coding at Team Scale: Why Agent Gains Stop Compounding (2026)
AI coding agents boost individuals 30-50% but stall at team scale. Learn why gains stop compounding and how an agent-neutral context layer fixes it.