Agents & AI engineering for advanced learners
220 resources · page 6 of 7
Replit Docs
by Replit
Replit documentation for its browser IDE and AI agent that builds and deploys apps.
Welcome to Replit (Replit Docs)
by Replit
Replit documentation welcome page introducing its AI agent, workspace and deployment features.
RLHF Book (Nathan Lambert)
Nathan Lambert's free online RLHF book covering preference tuning, reward models, RLVR and post-training of language models.
Shopify Dev: AI and agents
by Shopify
Shopify documentation on exposing app data and actions to AI agents in the Shopify admin and beyond.
Supabase Docs: AI & Vectors
by Supabase
Supabase AI and vectors guide: storing embeddings and running vector search in Postgres with pgvector.
Webflow AI
by Webflow
Webflow AI page describing AI features of the Webflow website builder.
Whop Docs
by Whop
Whop developer documentation: API and SDKs for payments, payouts, identity verification and embedded checkout.
Get Started with Whop
by Whop
Whop getting-started documentation for selling digital products and memberships on the Whop platform.
Zapier app directory
by Zapier
Zapier app directory listing over 9,000 apps that can be connected in automated workflows.
Agent Skills specification
by Agent Skills
Agent Skills specification: format for SKILL.md skill directories, metadata and progressive disclosure of instructions.
aider docs: Edit formats
by Aider AI
Aider documentation on edit formats (whole, diff, udiff) and why different models need different formats.
aider docs: Repository map
by Aider AI
Aider documentation on its repository map, a concise tree-sitter summary of a codebase given to the LLM as context.
Anomalib
by Anomalib project (Open Edge Platform)
Anomalib documentation: deep-learning library of anomaly detection algorithms with training, benchmarking and deployment tools.
Building a C compiler with a team of parallel Claudes
by Anthropic
Anthropic engineering case study of building a C compiler with many Claude agents working in parallel.
A harness for every task: dynamic workflows in Claude Code
by Anthropic
Claude blog post on dynamic workflows in Claude Code, where it writes and orchestrates its own multi-agent harness.
Code Mode: the better way to use MCP (Cloudflare Blog)
by Cloudflare
Cloudflare post on Code Mode, where agents write TypeScript against MCP APIs instead of calling tools directly.
Don't Build Multi-Agents (Cognition)
by Cognition
Cognition post by Walden Yan arguing for shared context and single-threaded agents over naive multi-agent designs.
Multi-Agents: What's Actually Working (Cognition)
by Cognition
Cognition follow-up post on which multi-agent setups work in production and where single agents still fit.
Effective context engineering for AI agents (Anthropic)
by Anthropic
Anthropic post on context engineering for agents: treating context as finite, with compaction, memory and tool selection.
Engineering fast, performant AI agents through fine-tuning (Decagon)
by Decagon
Decagon engineering post on using several fine-tuned smaller models to cut latency in customer-service agents.
DIPY
by DIPY project
DIPY documentation: Python library for diffusion MRI and 3D/4D neuroimaging processing.
Direct Preference Optimization
by Rafael Rafailov et al. (Stanford University)
arXiv paper (2023) introducing Direct Preference Optimization (DPO), preference training without a separate reward model.
DSPy docs: Optimization overview
by Stanford NLP
DSPy documentation on optimisers such as MIPRO and GEPA for tuning prompts and weights programmatically.
Effective harnesses for long-running agents
by Anthropic
Anthropic post on harnesses for agents that work across many sessions, using an initializer agent and incremental progress.
FINOS AI Governance Framework
by FINOS
FINOS AI Governance Framework: open-source controls for adopting AI in financial services, mapped to risks.
How we built our multi-agent research system (Anthropic)
by Anthropic
Anthropic post on how it built Claude's multi-agent Research system with an orchestrator and subagents.
Flower documentation
by Flower Labs
Flower documentation: open-source framework for federated learning, simulation and deployment.
Google Agent Development Kit
by Google
Google Agent Development Kit (ADK) documentation for building, evaluating and deploying multi-agent systems.
Harness design for long-running application development
by Anthropic
Anthropic post on harness design for agents that build applications over long runs.
How we contain Claude across products
by Anthropic
Anthropic engineering post describing the containment architecture used to isolate Claude across its products.
Intercom and Fin developer platform
by Intercom
Intercom developer platform: APIs, SDKs and integration guides for Intercom and its Fin AI agent.
JAX documentation
by Google (JAX)
JAX documentation: Python library for accelerator-oriented array computing with automatic differentiation, JIT compilation and sharding.