惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - 三生石上(FineUI控件)
WordPress大学
WordPress大学
S
SegmentFault 最新的问题
小众软件
小众软件
T
Tailwind CSS Blog
博客园 - 聂微东
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
人人都是产品经理
人人都是产品经理
V
Visual Studio Blog
罗磊的独立博客
有赞技术团队
有赞技术团队
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Jina AI
Jina AI
量子位
云风的 BLOG
云风的 BLOG
Recent Announcements
Recent Announcements
Hugging Face - Blog
Hugging Face - Blog
P
Proofpoint News Feed
N
Netflix TechBlog - Medium
GbyAI
GbyAI
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
腾讯CDC
美团技术团队

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Stop losing AI coding context between sessions: Continue ...
Dhruv Anand · 2026-04-30 · via DEV Community

Dhruv Anand

Continue Later Skills

Handoff skills and a small CLI for AI coding sessions. When you stop mid-project, Continue Later writes the context a future agent actually needs: current git state, recent prompts, pending tasks, gotchas, and exact run commands.

It includes:

  • continue-later for a structured continuation.md
  • continue-later-fast for a raw git + recent prompt dump in continuation-fast.md
  • resume-continuation for picking work back up later (natural language)
  • resume-from-earlier — same resume workflow in its own folder for /resume-from-earlier and better discovery on every platform
  • optional Cursor, Claude Code, Codex, and Gemini hooks for automatic handoff context

Continue Later workflow demo

Demo

You: continue later
Agent/CLI:
  - archives any old continuation.md / continuation-fast.md
  - writes the current git snapshot
  - captures recent local user prompts when enabled
  - leaves continuation.md or continuation-fast.md in the repo root

Later:
You: resume from earlier

Agent:
  - reads the handoff file
  - reports pending tasks, known issues, decisions, gotchas, and

Continue Later: handoffs your next agent can actually use

Ever end a Cursor/Claude/Codex session mid-refactor and come back to a model that doesn't know your branch, your last prompts, or what was left to do?

Continue Later is a small open source toolkit: Agent Skills plus a local CLI that writes handoff files in your repo root — git state, optional recent prompts, tasks, gotchas, and run commands. No hosted service; everything stays on your machine.

What you get

  • continue-later — structured continuation.md (overview, stack, state, tasks, decisions, gotchas, deploy steps)
  • continue-later-fast — quick continuation-fast.md (git + recent prompts; no extra LLM narrative)
  • resume-continuation / resume-from-earlier — natural language (and /resume-from-earlier) to pick work back up
  • Optional hooks for Cursor, Codex, Gemini, and a path for Claude Code — auto context on matching prompts when you want it

Try it

One-liner install (see repo for env flags and uninstall):

curl -fsSL https://raw.githubusercontent.com/dhruv-anand-aintech/continue-later-skill/main/install.sh | bash

Enter fullscreen mode Exit fullscreen mode

Then in chat: Use "/continue-later" to save context for your next agent, and "/resume-from-earlier" to pick up where the previous agent left off.

For an LLM-free way of dumping context, from a git root, run:

continue-later-fast 

Enter fullscreen mode Exit fullscreen mode

Check out the source at https://github.com/dhruv-anand-aintech/continue-later-skill