Ship software with AI, whether or not you write code.
Setups, guides and tool verdicts for shipping with AI: Claude Code, Codex and Cursor, vibe-coding and app builders, automation, MCP servers and just enough infra on Vercel, Cloudflare and Supabase. Priced and tested on the stack behind my own live products.
Latest articlesWhat shipped, what broke, and what it really cost — from running production AI systems.
Smolagents: How Code Agents Work and When to Use Them
How smolagents uses Python actions, tools and sandboxes, with a small example and clear choices against LangGraph and the OpenAI Agents SDK.Oct 31, 2026Build
Warp Terminal Review
Should Warp replace your terminal or coding agent? Compare workflows, current plans, team privacy controls and the limits that decide the switch.Oct 31, 2026Build
Kilo Code Review
Kilo Code review: VS Code, JetBrains, CLI, cloud agents, model choice, and who should choose it over Cline or Claude Code.
Oct 31, 2026Build
Bedrock AgentCore: Components, Architecture and When to Use It
Understand AgentCore's components, what they replace in your AWS agent stack, what you still own, and how to run a focused first pilot.Oct 30, 2026Build
Speculative Decoding: How to Speed Up LLM Inference
Learn how speculative decoding works, when it lowers latency, and how to enable it in vLLM, SGLang and TensorRT-LLM without relaxing verification.Oct 30, 2026Build
GPU Cloud Providers 2026: Runpod, Lambda, CoreWeave, Vast.ai, Modal, Together AI and Google Cloud
Compare Runpod, Lambda, CoreWeave, Vast.ai, Modal, Together AI and Google Cloud for fine-tuning, serverless inference and clusters.Oct 30, 2026Build
GitHub Copilot Fusion: How It Works and When to Use It
Understand Copilot Fusion, its model orchestration, supported clients and credit usage, plus a practical one-repository trial and reasons to leave it off.Oct 29, 2026Build
Bright Data Review
Bright Data reviewed for agents, RAG and price monitoring: product fit, billing, free trials, residential KYC, and when to choose Firecrawl or Browse AI.Oct 28, 2026Build
Dify vs n8n
Dify vs n8n for AI apps, business workflows and self-hosting. Compare features, commercial licence rules and the job each platform fits.Oct 27, 2026Build
Zapier Alternatives in 2026: Make, n8n, Gumloop, Pipedream, Activepieces and Power Automate
Compare Zapier alternatives by task volume, self-hosting, AI agents, code and Microsoft 365. Current billing models and what migration requires.Oct 27, 2026BuildThe other lanes.Pick the one you came for.
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AutoGen vs LangGraph
AutoGen is archived. Compare its conversation model with LangGraph's stateful workflows, then choose LangGraph or Microsoft Agent Framework for migration.Oct 27, 2026Build
LoRA Fine Tuning: QLoRA, Adapters and Evaluation
Learn how LoRA and QLoRA work, when to fine-tune, which hosted and GPU routes train adapters, and how to evaluate and serve them.Oct 26, 2026Build
LangChain Alternatives in 2026: LangGraph, LlamaIndex, Pydantic AI and More (Compared)
Compare LangGraph, LlamaIndex, Pydantic AI and six more LangChain alternatives by language, models, licence and the problem each solves.Oct 26, 2026Build
LLM vs SLM: Which Model Fits Your Feature?
Choose large or small language models by task. Compare current model families, deployment limits and a routing example for production features.Oct 26, 2026Build
Model Distillation: Teacher to Student for Production LLMs
When to distill a narrow LLM task, which managed routes are available, what output-training terms allow, and how to evaluate before switching traffic.Oct 26, 2026Build
Vision Language Models: What Builders Can Trust
What vision language models can read, where they fail, and how to choose API or self-hosted models with a test plan for your own images.Oct 26, 2026Build
Multi Agent Systems: When One Agent Beats a Team
When should you split one LLM agent into several? Compare supervisors, hierarchies, handoffs and group chat, with a task-based decision table.Oct 26, 2026Build
Prompt Injection: Direct and Indirect Attacks in AI Agents
Understand direct and indirect prompt injection, how agents expose business data, and the safeguards to use before connecting an inbox or CRM.Oct 26, 2026Build
GraphRAG: How It Works and When to Use It
How Microsoft GraphRAG answers questions across documents, what drives indexing work, and when to use it instead of vector, hybrid or agentic RAG.Oct 26, 2026Build
AI Agent Architecture: The Production Map
Map the model, tools, memory, orchestration, approvals and evaluation behind a production AI agent, with a support workflow and buy-versus-build decisions.Oct 25, 2026Build
Cursor Models: What You Can Use After the October Change
Which Cursor models you can use after October, how Auto routes tasks, and how to choose across Grok, Composer, Claude, GPT and Gemini.Oct 25, 2026Build
LLM Parameters: Model Weights and Generation Settings
Understand model size, active MoE weights and API controls, with provider-specific rules and starting settings for extraction, drafting and code.Oct 25, 2026Build
Continuous Batching: How It Improves LLM Throughput
How continuous batching improves shared LLM throughput, changes latency, and works with KV cache in vLLM, SGLang, TensorRT-LLM and TGI.Oct 25, 2026Build
Tree of Thoughts Prompting: When to Use It
Learn how Tree of Thoughts branches, evaluates and prunes, how it differs from chain-of-thought, and when extra model calls earn their place.Oct 24, 2026Build
Agent Loop: Model Calls, Tools and Stop Conditions
Follow the agent loop from model call to tools and observation. Learn the stop conditions, framework controls and fixes for stalled runs.Oct 24, 2026Build
Agentic Coding: How It Works and How Much to Delegate
Understand agentic coding, how Claude Code, Codex, Cursor and Copilot work, and where specs, permissions, tests and review limit delegation.Oct 24, 2026Build
Context Rot: Why Long Chats Degrade and How to Fix It
Why agents lose accuracy before the context window fills, what Chroma's study shows, and how to use compaction, retrieval and clean contexts.Oct 24, 2026Build
Hybrid Search: BM25, Vectors and a Recall Test
Combine BM25 and vector search with RRF or weighted scores. Add hybrid retrieval in your existing store and measure recall on labelled queries.Oct 24, 2026Build
Mixture of Experts Explained: Active vs Total Parameters
Understand MoE routers, experts and active vs total parameters, with maker-sourced examples and practical rules for API use and self-hosting.Oct 24, 2026Build
Eval Driven Development: A Practical Loop for LLM Changes
Learn eval driven development with a 20-case example: define checks, record a baseline, change one thing, and gate the release on the rerun.Oct 24, 2026Build
Tokens per Second: How to Measure LLM Output Speed
Understand LLM tokens per second, first-token delay and end-to-end latency, then measure your own streamed response.Oct 24, 2026Build
LLMOps: What It Is and What to Put in Place First
What LLMOps covers, how it differs from MLOps, and the release, evaluation, tracing and incident controls a production team needs first.Oct 23, 2026Build
Structured Outputs: OpenAI, Claude and Gemini Explained
Understand structured outputs across OpenAI, Claude and Gemini, with schema limits, invoice extraction, validation, retries and streaming.Oct 23, 2026Build
Railway Alternatives in 2026: Render, Fly.io, Northflank, Heroku and More
Compare Railway alternatives for services, Postgres, workers and cron, with current starting prices, secrets handling and a staged migration checklist.Oct 22, 2026BuildPrefer this site in Google
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