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.
Best Antivirus for Small Business in 2026: Bitdefender, Microsoft Defender, ESET, Sophos, CrowdStrike and Malwarebytes
Compare Bitdefender, Microsoft Defender, ESET, Sophos, CrowdStrike and Malwarebytes by device coverage, setup and who handles security alerts.Nov 8, 2026Build
Paperclip AI
Paperclip AI review: official setup, supported runtimes, governance limits and who should give this agent control plane a weekend.Nov 7, 2026Build
What Is Supabase? The Backend Behind Your AI-Built App
Understand Supabase, its Postgres database and backend services, how AI builders connect, and what you control before depending on it.
Nov 7, 2026Build
Best AI Code Editor in 2026: Cursor, Windsurf, Zed, VS Code, Kiro and JetBrains AI
Compare Cursor, Windsurf, Zed, VS Code with Copilot, Kiro and JetBrains AI by agent modes, model access, privacy and team controls.Nov 6, 2026Build
Activepieces
Activepieces reviewed for operators leaving Zapier or Make: editions, pieces, Agents, MCP, self-hosting and a documented Sheets-to-Slack workflow.Nov 6, 2026Build
Technical Writing Software in 2026: Mintlify, GitBook, Paligo, MadCap Flare, Document360 and Archbee
Compare Mintlify, GitBook, Paligo, MadCap Flare, Document360 and Archbee for product docs: AI, versions, localization, API support and workflow fit.Nov 6, 2026Build
Replicate AI
Replicate AI reviewed for builders: how the API works, custom model deployment, Cloudflare ownership, and the limits that affect production.Nov 5, 2026Build
GitHub Alternatives 2026: GitLab, Bitbucket, Gitea, Codeberg, Azure DevOps, SourceHut and AWS CodeCommit
Compare managed and self-hosted GitHub alternatives, with verified AI policies, CI/CD, migration paths and the tradeoffs that decide a move.Nov 5, 2026Build
Assembly AI
AssemblyAI reviewed for developers: choose recorded or live models, understand speaker labels, and turn transcripts into useful meeting notes.Nov 5, 2026Build
GitHub Pricing: Plans, Add-Ons and Team Costs
GitHub Free, Team and Enterprise prices, Actions, Codespaces and security charges, plus worked monthly bills for 5-person and 25-person teams.Nov 5, 2026BuildThe other lanes.Pick the one you came for.
321 pieces
AI
Models, agents and coding assistants, image, video and voice tools: reviewed, priced and compared.129 piecesDesign
AI as a craft tool for designers, brand owners and creative directors: image, video, type, and the prompts behind the work.247 piecesBusiness
Voice and phone agents, customer service, sales and marketing, operations and AI search visibility, for the people who run a business.9 piecesPlaybooks
AI for your niche: the workflows that actually move, tool by tool, priced52 piecesExplained
What shipped, explained: every real release, decoded for the people who use it0 piecesLab
The agent journey, entry by entry: what shipped, what broke, what was decided, in the ventures I run36–59 / 351
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, 2026Build
Gumloop Review
Gumloop reviewed for lead research, scraping, documents and email: a step-by-step setup, current credits, approval controls and alternatives.Oct 22, 2026Build
Synthetic Data Generation: LLM Training and Test Data
Generate LLM evals, fine-tuning examples and test fixtures with a worked recipe, filtering, deduplication, human checks and provider terms.Oct 22, 2026Build
RLHF Explained: Human Feedback, DPO and Fine-Tuning
How RLHF turns human rankings into model behavior, how DPO and verifiable rewards differ, and which preference fine-tuning APIs a small company can use.Oct 22, 2026Build
Model Router: How LLM Routing Works and How to Test It
Learn how LLM model routing works, compare documented options, and test quality with a support-app example, cost formula, and held-out eval set.Oct 21, 2026Build
Semantic Caching: How It Works and When to Reuse Answers
Understand semantic caching, its four-step lookup, and how thresholds, expiry and user scope prevent similar questions from receiving the wrong answer.Oct 21, 2026BuildPrefer this site in Google
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