AI
-
OpenCode | The open source AI coding agent
OpenCode - The open source coding agent.
/ AI / Programming / Tools / links / agent / open source / code
-
Amp is a frontier coding agent that lets you wield the full power of leading models.
/ AI / Programming / Tools / links / agent / automation / code
-
After two days with Beads, my agent-based workflows feel supercharged. I’ve been experimenting with agents for about a month now, and something clicked. Could be the new Claude Code 2.1 upgrade helping too, but the combination is ššš.
-
Spent some time with Google Antigravity today and I think I’m starting to get it. Built a few agents to test it out. The agent manager stuff is genuinely interesting and seems useful. The planning features (spec-driven development) though? Not sold on those yet.
-
Beads: Git-Native Issue Tracking for AI-Assisted Development
If you’re working with AI coding agents like Claude Code, you’ve probably noticed a friction point: context.
Every time you start a new session, you’re rebuilding mental state. What was I working on? What’s blocked? What’s next?
I’ve been using Beads, and it’s changed how I manage work across multiple AI sessions.
What Makes Beads Different?
Beads takes a fundamentally different approach. Issues live in your repo as a
.beads/issues.jsonlfile, syncing like any other code. This means:- No context switching: Your AI agent can read and update issues without leaving the terminal
- Always in sync: Issues travel with your branch and merge with your code
- Works offline: No internet required, just git
- Branch-aware: Issues can follow your branch workflow naturally
The CLI-first design is what makes it click with AI coding agents. When I’m working with Claude Code, I can say “check what’s ready to work on” and it runs
bd readyto find unblocked issues. No copying and pasting from a browser tab.Getting Started
Getting up and running takes about 30 seconds:
# Install Beads curl -sSL https://raw.githubusercontent.com/steveyegge/beads/main/scripts/install.sh | bash # Initialize in your repo bd init # Create your first issue bd create --title="Try out Beads" --type=taskFrom there, the workflow is straightforward:
bd readyshows issues with no blockersbd update <id> --status=in_progressto claim workbd close <id>when you’re donebd syncto commit beads changes
Why This Matters for AI Workflows
The real power shows up when you’re juggling multiple tasks across sessions. Your AI agent can:
- Pick up exactly where you left off by reading the issue state
- Track dependencies between tasks (this issue blocks that one)
- Create new issues for discovered work without breaking flow
- Close completed work and update status in real-time
I’ve found this especially useful for longer projects where I’m bouncing between features, bugs, and cleanup tasks. The AI doesn’t lose track because the state is right there in the repo.
Is It Right for You?
Beads isn’t trying to replace GitHub Issues for team collaboration or complex project management.
It’s designed for a specific workflow: developers using AI coding agents who want persistent, agent-friendly task tracking.
If you’re already working with Claude Code, Aider, or similar tools, give it a try. The setup cost is minimal, and you might find it solves a problem you didn’t realize you had.
/ Productivity / AI / Developer-tools / Git
-
How to navigate the age of agentic AI | MIT Sloan
A new report from Sloan Management Review and BCG identifies four tensions that organizations must manage when rolling out agentic artificial intelligence.
-
vibe is the bait, code is the switch.
Vibe coding gets people in the door. We all know the hooks. Once you’re actually building something real, you still need to understand what the code is doing. And that’s not a bad thing.
/ AI / Programming / Vibe-coding
-
Stay updated with the latest news, feature releases, and critical security and code quality blogs from CodeAnt AI.
/ AI / Programming / blogging / links / security
-
DeepWiki | AI documentation you can talk to, for every repo
DeepWiki provides up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub - powered by Devin.
/ AI / links / search engine
-
The API management platform built for self-hostedĀ control AIĀ andĀ agenticĀ workloads distributed,Ā low-latencyĀ scale Tyk gives you full control to secure, govern, and scale the APIs that move your data, models, and decisions,across any cloud, hybrid, or on-prem environment. Start for free Get a demo Powering the worldās best companies Your vision, powered by Tyk Your APIs. Your infrastructure. Your [ā¦]
/ AI / links / platform / self-hosted / open source / api / gateway
-
Cabina.AI: All-In-One AI assistant platform | Best AI chat workspace for you needs
Free access to GPT-4 O1, Claude, LLama, Runway, Flux, Lumalabs, Stability, Gemini & more. Chat with PDF (RAG), analyze files, AI transcribe audio, generate video & images, AI Summarizer & In-Paint editor: all AI tools in one place. Generate AI content easy or compare LLMs in one chat or test & improve your prompts. Start free with Cabina.AI workspace now
-
steveyegge/gastown: Gas Town - multi-agent workspace manager
Gas Town - multi-agent workspace manager
/ AI / Workflow / links / agent / automation / task management
-
Shadcn Studio - Shadcn UI Components, Blocks & Templates
Accelerate your project development with ready-to-use, & customizable 1000+ Shadcn UI Components, Blocks, UI Kit, Boilerplate, Templates & Themes with AI Tools.
-
New investment opportunity
/ AI
-
Sign me up
/ AI
-
Bet #GuessThatPrompt
/ AI
-
AI Reasoning - Gemini, DeepSeek, and OpenAI Compared
So, the Gemini Flash Thinking models are out, and they simulate how a chain of thought is supposed to work in humans, reasoning their way to an answer instead of simply providing one.
DeepSeek R1 and OpenAI O3 also have CoT.Ā
How does Google Flash Thinking compare? Well, itās fast and free and doesnāt send your data to Chinaā¦ but it may be a bit too early to tell.Ā
Chain of thought makes models more flexible and capable of handling various tasks by breaking down complex problems, considering possibilities, and explaining reasoning.
Transformers are the foundational neural network architecture for many modern large language models. They are what enable models to understand context and generate human-like text.
Chain of Thought (CoT) enhances the reasoning capabilities of transformer models by prompting them to produce intermediate steps in their reasoning process before giving a final answer.
Perplexity Pro now has the Open Sourced DeepSeek R1 model re-hosted in the US. Iāve been using Perplexity Pro for a few weeks. My conclusion: Perplexity is a better Google than Google.
/ AI
-
We need a new Salt Bae.
Crystals of the sea,
Flavor's dance, life's sustenance,
Whispers on the breeze.
Ā
-
The importance of goal setting when working in a creative field
-
All Hail - the fabled land of six fingers.Ā
/ AI
-
MenuBarX is a utility app on Setapp that helps users organize their most frequently-used applications into a single, easy-to-access menu bar. Ā I set it so I always have ChatGPT available in the Menu bar. MenubarX - Productivity App for macOS
/ AI
-
How long do you think we are from Robot Butlers?
How long do you think we are from Robot Maids?
/ AI