AI AGENTS
Building and using AI agents - multi-agent systems, autonomous coding, and orchestration.
122 resources - 116 posts, 2 tools, 4 guides
Blog Posts
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Claude Agents vs Skills: Which One Do You Actually Need?
Claude agents vs skills, untangled: agents are workers with their own context window, skills are instructions loaded on demand. Here is the decision table.
8 min read
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Claude Code Auto Mode Explained: Permissions Without the Prompts
Auto mode replaces permission prompts with a background safety classifier - here is how the Shift+Tab cycle, hard_deny rules, and glob deny patterns actually fit together.
8 min read
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Claude Code Dynamic Workflows: The Complete Guide
Claude Code dynamic workflows turn orchestration into a JavaScript script that runs up to 1,000 agents per run - here is how scripts, schemas, budgets, and resume actually work.
10 min read
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Setting Up the Memory Tool with Fable 5: Persistent Agents That Learn
Anthropic says persistent file-based memory improved Fable 5 three times more than it improved Opus 4.8. Here is the full memory tool setup - handlers, security, and context editing included.
8 min read
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The Fable 5 Orchestrator Playbook: One Smart Model Managing Cheap Workers
A practical playbook for running Claude Fable 5 as the orchestrator over Sonnet and Haiku workers, with verified cost math on when the premium pays off.
10 min read
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Fable 5 Task Budgets: Capping Agent Spend Before It Happens
Task budgets give Claude a token countdown for the whole agentic loop, so the model paces itself instead of discovering the limit when max_tokens truncates it. Here is how the beta works on Fable 5, what it does not enforce, and where it fits next to effort and the Usage API.
8 min read
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Managing a Fleet of Claude Agents: A Practical Guide
An ops guide to managing a fleet of Claude agents: spawning patterns, worktree isolation, build gates, orphaned-agent failure modes, and OpenTelemetry monitoring.
10 min read
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Rewriting Your Prompts and Skills for Fable 5
Rewriting prompts and skills for Fable 5: what changes when you migrate agents from Opus 4.x, how effort interplay works, and which old workarounds now hurt.
10 min read
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Ultracode: Claude Code Multi-Agent Orchestration Mode Explained
Ultracode is two documented things: a prompt keyword that turns one task into a dynamic workflow, and an /effort setting that pairs xhigh reasoning with automatic orchestration. Here is exactly what the docs say.
8 min read
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12 Ways Developers Are Actually Leveraging Claude Fable 5
Twelve documented Claude Fable 5 use patterns - agent orchestration, overnight runs, 1M-context refactors, effort tuning - each with a how-to seed and doc link.
10 min read
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Fable 5 vs Opus 4.8: A Data-Driven Decision Guide for Engineering Teams
Fable 5 posts an 80.3% SWE-Bench Pro score and costs 2x Opus 4.8 - here is the task-profile scoring guide that tells you when the premium pays off.
7 min read
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Vercel AI SDK 6 vs LangGraph 1.0: Which Agent Framework Should TypeScript Teams Use?
AI SDK 6 ships ToolLoopAgent and full MCP support. LangGraph hits 1.0 GA with durable state and built-in interrupt/resume. Here is how to choose between them for your TypeScript team.
8 min read
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Goose: The Open Source AI Agent With 70+ MCP Extensions
Goose is a Rust-built AI agent with a CLI, desktop app, and API that runs against 15+ LLM providers and extends through 70+ MCP extensions - here is why developers are installing it.
5 min read
Harness Engineering Makes Tokens a Systems Budget
OpenAI's harness engineering post and new token-use research point to the same lesson: agentic coding teams need token budgets, receipts, and eval loops, not vibes.
8 min read
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Headroom: Compress Agent Tool Output Before It Reaches the LLM
Headroom is a context compression layer that intercepts your AI agent's tool outputs and strips 60-95% of the tokens before they hit the model - with benchmarked accuracy preserved.
6 min read
Security Agents Need Repro Harnesses, Not More Scan Prompts
Anthropic's open-source vulnerability harness shows where AI security work is going: reproducible exploit loops, separate verification agents, and patch receipts.
9 min read
AI Agent Containment Needs a Capability Ledger
Anthropic's Claude containment writeup points to the next security layer for coding agents: deterministic capability ledgers, not another approval prompt.
9 min read
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Cut LLM Token Bills by 92% - Headroom Compresses Agent Context Before It Hits the Model
Headroom is a context compression layer trending on GitHub that slashes token usage by 60-95% across Claude Code, Cursor, and other AI coding agents - without sacrificing accuracy.
6 min read
AI Agent Memory Needs a Context Ledger
GitHub Trending is full of agent memory and context tools. The useful version is not magic recall. It is a context ledger: source-linked, scoped, expiring memory that agents can inspect and users can audit.
8 min read
Spreadsheet Agents Need Permission Ledgers
The ChatGPT for Google Sheets exfiltration report is not just a spreadsheet bug. It is a warning about agentic office tools: permissions need to be action-scoped, logged, revocable, and visible.
8 min read
Domain Expertise Is the New Agentic Coding Moat
A huge Hacker News thread says domain expertise is the real moat in agentic coding. The sharper version: tacit judgment only compounds when you turn it into examples, tests, DSLs, and review gates.
8 min read
The Agent Security Checklist I Use Before Connecting Tools
Before an AI agent gets tools, files, APIs, MCP servers, or deployment access, decide what it can read, write, call, log, and roll back.
8 min read
Mastra for Durable TypeScript Agents: Where It Fits and Where It Does Not
Mastra is the strongest fit when a TypeScript product needs agents, workflows, memory, tools, MCP, evals, and traces in one backend layer. It is not the right answer for every chat feature.
8 min read
Mastra vs CopilotKit vs LangGraph: Build the Same Agent App Three Ways
A practical field note on where Mastra, CopilotKit, and LangGraph fit when you are building the same agent-native product interface.
9 min read
The Model, IDE, CLI, and Agent Framework Changes That Actually Matter
The AI coding market is noisy. The changes that matter are easier to spot when you separate model capability, editor loops, terminal agents, background agents, agent frameworks, UI layers, context, security, and cost.
10 min read
The New AI Coding Stack I Would Pick Today
If I were rebuilding my AI coding workflow on May 30, 2026, I would not pick one magic tool. I would pick a layered stack: terminal agent, editor, background agent, Mastra, CopilotKit, MCP, context, security, and cost controls.
11 min read
Permissions, Logs, and Rollback for AI Coding Agents
AI coding agents become safer when permissions, logs, and rollback are designed as one system. Here is the operating loop I would put around any agent that can edit code, run tools, or open pull requests.
9 min read
Prompt Injection in Agent Apps: The Practical Version
Prompt injection stops being an abstract LLM risk once an agent can call tools. The practical defense is data boundaries, structured handoffs, tool guardrails, and approval gates around side effects.
8 min read
State of AI Coding: What Changed This Month
May 2026 was not about one more coding model leaderboard. The useful signal was control planes, UI-agent contracts, durable TypeScript workflows, usage economics, and runtime security.
10 min read
When CopilotKit Is the UI Layer, Not the Agent Framework
CopilotKit is strongest when you treat it as the product-facing agent UI layer: chat surfaces, frontend tools, shared state, generative UI, and human approval around a backend agent.
8 min read
Claude Opus 4.8 Is an Agent Honesty Release
Claude Opus 4.8 looks like a benchmark bump, but the developer story is better honesty, dynamic workflows, and effort controls that make long-running agent work easier to review.
8 min read
Local Code Graphs Are the Next Agent Context Layer
CodeGraph is trending because AI coding teams are running into the same bottleneck: agents waste too many tokens rediscovering the repo. Local indexes help, but only if you treat them as navigation aids instead of source truth.
9 min read
AI Agent PMF Is a Cost Control Problem Now
AI coding agents have crossed from demo to daily workflow. The next bottleneck is not demand. It is cost attribution, budget gates, and workflow design that keeps agent fleets from turning useful work into surprise spend.
8 min read
AI Chat Fatigue Is a Workflow Design Bug
A front-page Hacker News essay about being tired of AI answers points at a real developer problem: chat is too easy to launder into fake work. The fix is verifiable workflows, not more conversational polish.
8 min read
Coding Agents Need Codebase Maps, Not Bigger Prompts
GitHub is suddenly full of codebase knowledge graph projects for Claude Code, Codex, Cursor, and other agents. The useful version is not a pretty graph. It is a map that changes planning, editing, and review.
8 min read
Claude Knowledge Work Plugins Turn Agent Setup Into Team Infrastructure
Anthropic's knowledge-work plugin repo is trending because it packages skills, connectors, slash commands, and sub-agents around job functions. The interesting shift is from personal prompts to team-distributed operating systems.
7 min read
Constraint Decay Is the Coding Agent Bug Nobody Can Prompt Around
A new arXiv paper shows coding agents can pass loose backend tasks, then fall apart when architecture, database, and ORM constraints pile up. The fix is not longer markdown. It is executable constraints.
8 min read
Reasonix Shows the Next Coding Agent Fight Is Cache Discipline
Reasonix hit Hacker News with a DeepSeek-native pitch: keep long coding sessions cheap by designing the agent loop around prefix caching. The interesting question is when cache efficiency helps quality, and when it fights the harness.
7 min read
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CLI-Anything Turns Any Software Into an Agent-Ready Command Line
HKUDS/CLI-Anything hit 40,000 stars by solving a stubborn gap: most desktop software has no interface AI agents can reliably drive. Its 7-phase pipeline auto-generates a tested CLI harness from source code.
6 min read
AI Security Scanners Move the Bottleneck to Triage
Anthropic's Project Glasswing update is a useful signal for developer teams: AI can find vulnerability candidates faster than humans can verify, disclose, patch, and ship them.
8 min read
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12-Factor Agents: The Production Principles Every AI Builder Should Know
A practical framework for building LLM-powered software that actually ships to production customers - not just demos. 21.8k stars and still climbing.
6 min read
Multi-Stream LLMs Hint at the Next Agent Architecture
The Multi-Stream LLMs paper argues that agents are bottlenecked by single chat streams. The practical takeaway is not to rebuild everything today, but to design agent runtimes around separated channels.
8 min read
Sandboxed Agents Are Becoming the Team Control Plane
Runtime's Launch HN thread is a useful signal: teams do not just want isolated coding agents. They want a control plane for approvals, secrets, telemetry, review, and merge policy.
8 min read
CodeGraph Shows Why Coding Agents Need Local Repo Indexes
CodeGraph is trending because it points at a real bottleneck in AI coding: bigger context windows do not replace a fast, local, queryable map of the repository.
7 min read
Forge Shows the Local Agent Reliability Gap Is a Harness Problem
Forge hit the Hacker News front page with a strong claim: small local models can become much more useful at tool-calling when the harness catches structural failures, retries intelligently, and controls context.
7 min read
Anthropic Buying Stainless Is About Agent Plumbing
Anthropic's Stainless acquisition is not just an SDK deal. It is a bet that agents need generated SDKs, CLIs, docs, and MCP servers from the same source of truth.
8 min read
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12-Factor Agents: A Production Playbook for LLM Software
The humanlayer/12-factor-agents repo distills hard-won lessons from shipping AI agents into 12 concrete principles. It crossed 21,000 stars on GitHub this week.
6 min read
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12-Factor Agents: The Production Blueprint for LLM-Powered Software
humanlayer/12-factor-agents crossed 20k stars with a simple argument: most AI agents fail in production because they ignore decades of software engineering wisdom. Here are the twelve principles fixing that.
5 min read
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obra/superpowers: The Agent Skills Framework Gaining 10,000 Stars a Week
obra/superpowers is a composable skills framework for coding agents that turns vague requests into structured, test-driven development - and it runs across Claude Code, Codex, Cursor, and Gemini CLI.
5 min read
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agentmemory: Persistent Memory for Claude Code and AI Agents
agentmemory is a self-hosted MCP server that gives Claude Code, Cursor, and Gemini CLI searchable long-term memory across sessions - with 12 auto-capture hooks and 51 tools, no external database required.
6 min read
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Superpowers: The Agentic Dev Methodology Picking Up 1,800 Stars a Day
obra/superpowers enforces a seven-step development loop - brainstorming through branch completion - across Claude Code, Cursor, Gemini CLI, and five other agent platforms.
6 min read
Agent Memory Benchmarks Are Not Enough
Persistent memory for coding agents is trending because every session still starts too cold. The hard part is not saving facts. It is proving recall, freshness, deletion, and rollback under real development pressure.
9 min read
Claude Platform on AWS Is Enterprise Agent Plumbing, Not Just Procurement
Claude Platform on AWS matters because it moves agent adoption into identity, billing, commitments, and platform controls. That is where enterprise AI work gets real.
8 min read
Interaction Models Are the Next AI Developer Tool Interface
Thinking Machines' interaction-models post points at a useful shift for developer tools: stop designing around single chat turns and start designing around shared work.
8 min read
TanStack's npm Compromise Is the CI Lesson Agent Teams Needed
The TanStack npm incident was not just a package-security story. It was a reminder that AI agent workflows inherit every weak trust boundary in CI.
9 min read
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AgentMemory: Persistent Cross-Session Memory for Claude Code and 16 Other AI Agents
agentmemory gives AI coding agents a persistent brain - capturing session context automatically via 12 Claude Code hooks and 51 MCP tools, with 95.2% retrieval accuracy and 92% token savings over context-pasting.
7 min read
Claude Managed Agents Are Starting to Look Like Backend Jobs
Claude Managed Agents now have multiagent sessions, outcomes, webhooks, and vault events. The practical takeaway is not just better agents. It is that agent runs need backend job discipline.
9 min read
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AgentMemory: Persistent Context That Cuts AI Coding Agent Costs by 92%
AgentMemory hit GitHub's daily trending list with 400 new stars today, offering a persistent memory layer for AI coding agents that benchmarks at 95.2% retrieval accuracy on LongMemEval-S and 92% token reduction.
6 min read
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DeepSeek-TUI: The Rust Terminal Coding Agent With MCP, Skills, and 1M-Token Context
DeepSeek-TUI is a Rust-built terminal coding agent wrapping the DeepSeek V4 API with full tool use, MCP server support, a composable skills system, and three operational modes for different risk tolerances.
6 min read
How We Patched 100+ PRs Across Our App Empire in One Day
31 deployed apps. 7 down. Favicons missing on 20 of 24 reachable hosts. Sentry on zero. Here is how a single audit turned into 58 PRs in one afternoon - and what shipped, what didn't, and what the pattern was.
6 min read
219 PRs in One Day: A Parallel Agent Fan-Out Postmortem
Notes from a single session running 200+ Claude Code subagents in parallel across 35 repos. What worked, what broke, and the patterns I codified into a skill so the recipe replays.
8 min read
Codex Automations: Where Scheduled AI Agents Actually Help
Codex automations are useful when recurring engineering work has clear inputs, reviewable outputs, and safe boundaries. Here is the practical playbook.
9 min read
Codex Is Becoming a General-Purpose AI Agent, Not Just a Coding Tool
OpenAI is turning Codex from a coding assistant into a broader agent workspace for files, apps, browser QA, images, automations, and repeatable knowledge work.
8 min read
Codex Loops: What Boris Cherny Gets Right About Managing Agent Work
Boris Cherny's loop-heavy Claude Code workflow points at the next Codex content lane: recurring agents that babysit PRs, CI, deploys, and feedback streams.
8 min read
Karpathy's Loopy Era Is the Best Way to Understand Codex
Andrej Karpathy's loopy era frame explains why Codex is becoming less like a chatbot and more like an agent loop manager for real software work.
9 min read
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Ruflo: The Claude Code Plugin for Coordinating 100+ Specialized AI Agents
Ruflo crossed 37,700 GitHub stars this week, adding nearly 1,900 in a single day. It turns Claude Code into a coordinated swarm of 100+ specialized agents with MCP integration, distributed vector memory, and zero-trust agent federation.
7 min read
The 98% Context Reduction Pattern
Efficient agents do not stuff every tool result into the model context. They keep intermediate state in code, files, and execution environments, then return compact summaries and receipts.
8 min read
Approval Fatigue Is an Agent Security Bug
Manual approval prompts stop protecting users when coding agents ask too often. The better pattern is risk-aware autonomy: safe defaults, narrow deny rules, and approvals only for meaningful changes.
7 min read
Claude Code Agent Teams, Subagents, and MCP: The 2026 Playbook
Claude Code is turning into an orchestration layer for agent teams. Here is how subagents, MCP, hooks, and long context fit together in 2026.
9 min read
Client-Side Tool Calling Is the Privacy Pattern AI Apps Need
A Show HN PDF form demo points at a bigger architecture shift: keep sensitive documents local, expose narrow browser tools to the model, and make AI assistance inspectable.
7 min read
Codex /goal and Claude Managed Outcomes: The New Control Loops
A deep comparison of Codex's new /goal loop and Claude managed agents outcomes, with practical workflow examples, control tradeoffs, and migration guidance for long-running tasks.
18 min read
Flue: The Agent Harness Framework and Why It Feels Different
A long-form technical read on Flue from Fred K Schott, with deeper comparisons against OpenAI Agents, Vercel AI SDK, Google ADK, LangChain, Deep Agents, and CrewAI, plus practical production patterns.
24 min read
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Ruflo: Multi-Agent Orchestration for Claude Code That Actually Scales
Ruflo hit the top of GitHub trending this week with 35k stars. It turns Claude Code into a multi-agent platform with swarm coordination, vector memory, and cross-machine federation.
7 min read
Long-Running Agents Need Harnesses, Not Hope
A long-running coding agent is only useful if the environment around it can queue tasks, capture logs, checkpoint state, verify behavior, limit cost, and recover from failure.
8 min read
One Tool Beats Ten Endpoints
Most agent tool APIs are just REST endpoints with nicer names. Production agents need intent-shaped tools that compress workflows, reduce context, and return reviewable receipts.
8 min read
Skills Are How Agents Learn the Job
Skills turn a general coding agent into a trained teammate by packaging runbooks, scripts, examples, and domain-specific judgment into reusable instructions.
7 min read
Warp Open Sourced the Terminal. The Real Story Is Agent Operations
Warp going open source is not just a terminal story. It is a signal that AI coding tools are shifting from chat UX toward agent operations, where planning, execution, review, and feedback loops live close to the shell.
8 min read
12 Tools in One Night: An Honest Overnight Agent Report
I told an agent to improve the site every 10 minutes and went to sleep. Here is what 12 new repos, 60 PRs, and three goofs taught me about overnight orchestration.
11 min read
Agent Architecture: Building Multi-Step AI Workflows That Survive Production
A practical architecture for multi-step Claude agents. Loop patterns, state management, error recovery, and the production gotchas that turn a five-step demo into a 20 percent success rate at scale.
11 min read
Model Context Protocol: A Production Guide To Building MCP Servers
Build MCP servers that connect Claude to your databases, APIs, and tools. Architecture, TypeScript SDK code, debugging, and the production gaps the spec doesn't cover.
13 min read
Tool Use in the Claude API: Production Patterns for Reliable Agents
Master tool use in the Claude API. Schema design, retry logic, multi-step loops, and the failure modes that only show up at 10k calls a day.
12 min read
The DD Stack Cookbook: Five Recipes That Compose
Five worked examples showing how the new Developers Digest products plug into each other. Real agent filesystems, auto-snapshots, gated skill libraries, eval suites, and a recursive MCP host.
9 min read
Introducing agentfs: A Filesystem for AI Agents
agentfs is filesystem-shaped storage for AI agents. Postgres-backed on Neon, no cold starts, no exec by design. Pay-only plans start at twenty dollars.
9 min read
10 Tools We Built for Agent Infrastructure
Ten private tools shipped overnight - observability, skills, hooks, prompts, and evals - aimed at the agent infrastructure gap small teams keep falling into.
11 min read
The Agent Reliability Cliff: Why Your 10-Step Chain Only Succeeds 20% of the Time
The math of agent pipelines is brutal. 85% reliability per step compounds to about 20% at 10 steps. Here is why long chains collapse in production, and the six patterns the field has converged on to fight the decay.
9 min read
7 AI Agent Orchestration Patterns Every Developer Should Know
From single-agent baselines to multi-level hierarchies, these are the seven patterns for wiring AI agents together in production. Each with a decision rule, an implementation sketch, and the tradeoffs that actually matter.
10 min read
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Multica: The Open-Source Platform Turning AI Agents Into Real Teammates
Multica hit 17k GitHub stars this week with a bold idea - treat coding agents like teammates, not tools. Here is what it actually does and whether it delivers.
6 min read
The $400 Overnight Bill: Why Managed Agents Need FinOps Now
Five managed-agent providers, five pricing models, zero unified cost attribution. If you're running agents overnight, you need FinOps you don't have yet.
13 min read
Claude Code vs Codex vs Cursor vs OpenCode: Which Agent Ships More Code?
Four agents, same tasks. Honest trade-offs from a developer shipping production apps with all of them.
10 min read
How to Write a CLAUDE.md: The Complete 2026 Guide
CLAUDE.md is the highest-leverage file in any Claude Code project. Here's what goes in one, what doesn't, and the patterns that actually ship.
12 min read
What Is an AI Coding Agent? The Complete 2026 Guide
Autocomplete wrote the line. Agents write the pull request. The shift from Copilot to Claude Code, Cursor Agent, and Devin - explained with links to the docs that prove every claim.
13 min read
What Is an MCP Server? A Developer's Beginner Guide (2026)
MCP is the USB-C of AI agents. What the Model Context Protocol is, why Anthropic built it, and how to install your first server in Claude Code or Cursor. Fact-checked against the official MCP spec.
13 min read
What Is Claude Code? The Complete Guide for 2026
Claude Code is Anthropic's AI coding agent for your terminal. What it does, how it works, how it compares to Cursor and Codex, and how to ship your first feature with it. Fact-checked against official docs.
15 min read
OpenAI Codex Cloud Security Playbook 2026: Internet Access, Prompt Injection, and Safe Defaults
A practical security playbook for running Codex cloud tasks safely in 2026 using OpenAI docs: internet access controls, domain allowlists, HTTP method limits, and review workflows.
10 min read
What Hacker News Gets Right About AI Coding Agents in 2026
Hacker News keeps arguing about Claude Code, Codex, skills, MCP, and orchestration. Under the noise, the same four truths keep surfacing: workflows matter more than demos, verification is the bottleneck, skills beat prompts, and orchestration matters more than raw autonomy.
11 min read
Building SaaS with AI Agents in 2026: The Complete Workflow
How to use AI agents to plan, scaffold, build, test, and deploy a SaaS product. Parallel development patterns, real workflow examples, and the operational details that determine whether your AI-assisted build succeeds or fails.
15 min read
Context Engineering: The Highest-Leverage Skill in AI-Assisted Development
Context engineering is the practice of designing the persistent information that surrounds every AI interaction. CLAUDE.md files, system prompts, skill libraries, and memory systems. It is the single highest-leverage skill for developers working with AI agents in 2026.
14 min read
How to Coordinate Multiple AI Agents: The Definitive Guide for 2026
Production-tested patterns for orchestrating AI agent teams - from fan-out parallelism to hierarchical delegation. Covers CrewAI, LangGraph, AutoGen, OpenAI Agents SDK, Google ADK, and custom approaches with real code.
14 min read
Self-Improving AI Agents: Building Systems That Learn From Their Mistakes
AI agents that reflect on failures, accumulate skills, and get better with every session. Reflection patterns, memory architectures, skill extraction, and working code examples for building agents that actually learn.
13 min read
AI Agent Memory Patterns
Agents forget everything between sessions. Here are the patterns that fix that: CLAUDE.md persistence, RAG retrieval, context compression, and conversation summarization.
9 min read
How to Debug AI Agent Workflows
AI agents fail in ways traditional debugging cannot catch. Here are the tools and patterns for finding and fixing broken agent loops, tool failures, and context issues.
9 min read
AI Skills for Every Career: Agents and Knowledge Work
AI agent skills are not just for developers. Here is how 12 professions use packaged AI workflows to do better knowledge work.
12 min read
How to Build an AI Agent in 2026: A Practical Guide
A step-by-step guide to building AI agents that actually work. Choose a framework, define tools, wire up the loop, and ship something real.
10 min read
Ship Code While You Sleep: The Overnight Agent Workflow
How to spec agent tasks that run overnight and wake up to verified, reviewable code. The spec format, pipeline, and review workflow.
11 min read
AI Agents Explained: A TypeScript Developer's Guide
AI agents use LLMs to complete multi-step tasks autonomously. Here is how they work and how to build them in TypeScript.
6 min read
How to Build AI Agents in TypeScript
A practical guide to building AI agents with TypeScript using the Vercel AI SDK. Tool use, multi-step reasoning, and real patterns you can ship today.
10 min read
Multi-Agent Systems: How to Orchestrate Multiple AI Agents in TypeScript
From swarms to pipelines - here are the patterns for coordinating multiple AI agents in TypeScript applications.
6 min read
Open Source Has a Bot Problem: Prompt Injection in Contributing.md
AI coding agents are submitting pull requests to open source repos - and some CONTRIBUTING.md files now contain prompt injections targeting them.
3 min read
What Is MCP (Model Context Protocol)? A TypeScript Developer's Guide
MCP lets AI agents connect to databases, APIs, and tools. Here is what it is and how to use it in your TypeScript projects.
5 min read
CLIs Over MCPs: Why the Best AI Agent Tools Already Exist
OpenClaw has 247K stars and zero MCPs. The best tools for AI agents aren't new protocols - they're the CLIs developers have used for decades.
8 min read
Composio 101: Give Your AI Agent Access to 500+ Apps
Composio is a tool infrastructure layer that connects AI agents to Gmail, GitHub, Slack, Google Calendar, and hundreds more apps - all auth handled for you. Here is how to set it up and start building real cross-app workflows.
7 min read
OpenAI Agents SDK for TypeScript: A Practical Guide
OpenAI released their Agents SDK for TypeScript with first-class support for tool calling, structured outputs, multi-agent coordination, streaming, and human-in-the-loop approvals. Here is how each piece works.
9 min read
OpenAI Deep Research: The AI Agent That Does Your Homework
OpenAI's Deep Research is an AI agent inside ChatGPT that plans and executes multi-step research workflows, browsing dozens of websites and producing cited reports in minutes instead of hours.
7 min read
ChatGPT Tasks: Scheduled AI Agents Inside ChatGPT
OpenAI added scheduled tasks and reminders to ChatGPT, turning it from a chat interface into something closer to a personal AI agent. Here is how it works, what it can do today, and where this is heading.
8 min read
Gemini Deep Research: Google's AI Research Agent
Google's Gemini Advanced includes a deep research feature that searches dozens of websites, verifies information across multiple sources, and generates detailed cited reports. Here is how it works and how it compares to other AI research tools.
8 min read
Build an AI Agent Web App with LangGraph and CopilotKit
Wire a Python LangGraph agent into a Next.js frontend using CopilotKit's co-agent architecture. Full walkthrough covering the graph, search nodes, streaming state, and the React UI.
14 min read
Related Tools
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Lightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.
AI Frameworksn8n
Self-hostedWorkflow automation platform with native AI agent building. Visual editor plus JavaScript/Python code nodes, 500+ integrations, self-hostable under a fair-code license.
ProductivityGuides
All guides →Claude Code Setup Guide
Configure Claude Code for maximum productivity -- CLAUDE.md, sub-agents, MCP servers, and autonomous workflows.
GuideMCP Servers Explained
What MCP servers are, how they work, and how to build your own in 5 minutes.
GuideBuilding Your First MCP Server
Step-by-step guide to building an MCP server in TypeScript - from project setup to tool definitions, resource handling, testing, and deployment.
GuideAI Agent Frameworks Compared: LangGraph vs CrewAI vs Mastra vs CopilotKit
Deep comparison of the top AI agent frameworks - LangGraph, CrewAI, Mastra, CopilotKit, AutoGen, and Claude Code.
GuideKeep exploring AI Agents
- - OpenAI Agents SDK - recommended AI Agents tool from the Developers Digest directory
- - Compare Tools - dive deeper across the Developers Digest knowledge base
- - All AI Agents articles in the blog archive
- - Developers Digest on YouTube - video tutorials covering AI Agents and more
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