ZeroShot Blog
Shipping more with AI coding agents
Playbooks on shared context, team skills, and getting twice as much from Claude Code, Cursor, and Codex.
Why Claude Code Burns Tokens Fast (and the ZeroShot Fix)
Claude Code burns tokens because agentic loops re-send context every turn. Diagnose the 6 biggest token sinks, apply fixes, and cut costs at team scale.
Claude Code Usage Limits Explained: Get More From Your Plan (2026)
How Claude Code usage limits really work in 2026 — session windows, weekly caps, Pro vs Max vs API, and legitimate tactics to cut token usage 30–60%.
Best Windsurf Alternatives for Engineering Teams in 2026
Compare the 8 best Windsurf alternatives for engineering teams in 2026 — Cursor, Claude Code, Copilot, and ZeroShot, the cross-agent context layer.
Enterprise AI Coding: Security, Compliance & Governance (2026)
A 2026 guide to enterprise AI coding security, compliance, and governance — audit trails, data residency, least privilege, and cross-agent control without lock-in.
Codex Usage Limits: Why You Hit Them & How to Last (2026)
Codex usage limits drain fast because consumption scales with context and tool calls. Learn the legitimate levers—and how ZeroShot stops wasted messages.
Hit Your AI Coding Limit? A Team's Guide to ZeroShot (2026)
Hitting AI coding usage limits? The fix isn't more credits — it's eliminating redundant work. A team's guide to ZeroShot, the cross-agent context layer.
How to Measure AI Coding Productivity & ROI (2026 Guide)
Skip vanity metrics. Learn the 5 AI coding productivity metrics that matter, a defensible ROI model, and a 90-day measurement plan for engineering teams.
Onboard Engineers Faster with AI Coding Agents (2026)
A 2026 playbook to onboard engineers faster with AI coding agents: shared context, encoded conventions, session resume, and a 30/60/90 ramp checklist.
AI Code Review with Agents: Automating PR Reviews at Scale (2026)
A staff-engineer playbook for AI code review at scale: what to automate, what humans keep, and how ZeroShot encodes your team's review standards across any agent.
MCP for AI Coding: What It Is & How Teams Use It (2026)
A technical guide to MCP (Model Context Protocol) for AI coding agents: architecture, AGENTS.md, memory servers, and how ZeroShot builds the team layer in 2026.
Best Claude Code Alternatives for Engineering Teams in 2026
Compare the best Claude Code alternatives for engineering teams in 2026—Cursor, Copilot, Codex, aider—plus ZeroShot, the cross-agent context layer underneath.
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.
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.
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.
Best AI Coding Context & Memory Tools for Teams in 2026
Compare the 10 best AI coding context & memory tools for teams in 2026. Cross-agent memory, team skills, and customer evidence — ranked and explained.
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 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.
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.
How to Reduce AI Coding Costs for Engineering Teams in 2026
Cut AI coding costs without slowing velocity. Learn the six cost levers, gateway vs. context layer, and how ZeroShot ends redundant work across your team.
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.
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.
Customer-Evidence-Driven Coding: VoC in Specs & PRs (2026)
Trace every spec and PR back to verbatim customer signals. Learn how evidence-driven coding and ZeroShot bring voice of customer into AI coding workflows.
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.