v2026.2.0 - Universal Deploy: Agents That Actually Finish Long Tasks

[jmagly]

🚀 v2026.2.0 "Universal Deploy" is here — the biggest release yet!

Tired of agents crashing mid-task, forgetting context, or lazily skipping steps on your vague specs? This drop makes them reliable, cross-platform, and research-rigorous so they can run autonomously for hours without babysitting.

Biggest Wins in v2026.2.0

• Universal Deployment Across 8 Platforms — Claude Code, Cursor, GitHub Copilot, Warp, Factory AI, OpenCode, Windsurf, OpenAI/Codex. All 4 artifact types (agents, commands, skills, rules) now deploy everywhere — 32 combinations unlocked. No more platform silos.
• External Ralph Loop (Production-Grade) — Crash-resilient, multi-session execution for 6–8 hour tasks. Survives reboots, preserves state, auto-recovers with PAUSE → DIAGNOSE → ADAPT → RETRY → ESCALATE. Built-in reflexion memory + cross-loop learning.
• Full Research Framework — 8 research agents (Quality Assessor, Citation Verifier, etc.), 10 commands (/verify-citations, /grade-report, etc.), 8 templates. FAIR principles + GRADE evidence grading + W3C PROV provenance = trustworthy, verifiable outputs.
• Agent Persistence & Anti-Laziness — Laziness Detector prevents shortcuts, HITL gates for escalation, cross-task learning for smarter retries.
• Rules as First-Class Artifacts — 7 core enforcement rules (no-attribution, token-security, etc.) auto-propagate to every platform.
• Smarter & Leaner Tests — Consolidated from 3,837 → 2,619 tests (31.7% reduction) with zero coverage loss. Faster CI, cleaner code.
• 95 commits, no breaking changes — fully backward-compatible with v2026.1.x.

Quick Upgrade & Try It

# Upgrade globally
npm install -g aiwg@latest

# Deploy the SDLC framework (default: Claude Code)
aiwg use sdlc

# Or target your platform
aiwg use sdlc --provider cursor       # Cursor
aiwg use sdlc --provider copilot      # GitHub Copilot
aiwg use sdlc --provider warp         # Warp Terminal
# ...and all others (see --help for list)

For marketing workflows: aiwg use marketing

Try a Long-Run Task Right Away

/ralph-external "Migrate my codebase to TypeScript" --completion "npx tsc --noEmit exits 0" --max-iterations 20

Watch it persist through interruptions and self-correct.

Full Details

• Changelog: CHANGELOG.md
• Deep dive announcement: docs/releases/v2026.2.0-announcement.md
• Support matrix & examples in the release announcement.

Join the Conversation

• Drop feedback, bugs, or wins in Issues or Discussions
• Chat live: Discord | Telegram
• Website: aiwg.io

If you run a marathon task or spot something cool/rough, share a screenshot or log — first few sharers get shoutouts and priority on tweaks.

Let's make agents ship reliably in 2026. Who's deploying first? 🔥

#AIagents #SDLC #AgenticAI #DevTools

(Pro tip: Attach 1-2 GIFs/screenshots to the release if possible—e.g., Ralph Loop recovery flow, universal support table, or a before/after test count visual. GitHub renders them nicely at the top.)

This version is concise (under 600 words), scannable with bold/headers/tables, pain-hook focused, and CTA-heavy to encourage installs + interaction. It should boost visibility in GitHub feeds and drive npm downloads. If you want tweaks (more technical, shorter, add specific examples), just say! Good luck with the release drop. 🚀