<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>futurecraft.pro</title><description>AI blog about automation and AI-augmented development</description><link>https://futurecraft.pro/</link><language>en</language><managingEditor>hello@futurecraft.pro (Roman Belov)</managingEditor><item><title>OKRs with AI: from vague goals to measurable Key Results in 30 minutes</title><link>https://futurecraft.pro/blog/okr-setting-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/okr-setting-ai/</guid><description>How to use an LLM to generate OKRs: prompts, templates, examples of good and bad Key Results. A full process from strategic priorities to a finished OKR set in one session.</description><pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate><category>okr</category><category>ai</category><category>goal-setting</category><category>llm</category><category>prompt-engineering</category><category>operations</category><category>planning</category><author>Roman Belov</author></item><item><title>Human-in-the-Loop for AI Products: When the Model Decides and When a Person Does</title><link>https://futurecraft.pro/blog/human-in-the-loop/</link><guid isPermaLink="true">https://futurecraft.pro/blog/human-in-the-loop/</guid><description>A decision-making framework for HITL in AI products: confidence thresholds, risk matrix, escalation patterns. Production-ready implementation examples with code.</description><pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate><category>human-in-the-loop</category><category>hitl</category><category>ai-ops</category><category>confidence threshold</category><category>risk matrix</category><category>ai production</category><category>llm</category><category>quality assurance</category><author>Roman Belov</author></item><item><title>Prompt A/B Testing: a scientific approach to improving AI response quality</title><link>https://futurecraft.pro/blog/prompt-ab-testing/</link><guid isPermaLink="true">https://futurecraft.pro/blog/prompt-ab-testing/</guid><description>Methodology for A/B testing prompts: quality metrics, statistical significance, tools (Langfuse, DeepEval). Step-by-step guide from hypothesis to production decision.</description><pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate><category>prompt engineering</category><category>a/b testing</category><category>llm evaluation</category><category>langfuse</category><category>deepeval</category><category>prompt optimization</category><category>statistical significance</category><category>ai-ops</category><author>Roman Belov</author></item><item><title>ADR Template: How AI Generates Architecture Decision Records Your Future Self Will Thank You For</title><link>https://futurecraft.pro/blog/adr-template-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/adr-template-ai/</guid><description>ADR template + prompts for generating Architecture Decision Records with AI. Structure, examples, CI automation, and a Claude Code workflow from decision to documentation.</description><pubDate>Sat, 04 Apr 2026 00:00:00 GMT</pubDate><category>adr</category><category>architecture-decision-records</category><category>ai-documentation</category><category>prompt-engineering</category><category>claude-code</category><category>engineering-practices</category><category>documentation</category><author>Roman Belov</author></item><item><title>AI Content Engine: How to Publish 8 SEO Articles a Month Without a Team</title><link>https://futurecraft.pro/blog/ai-content-engine/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-content-engine/</guid><description>A complete AI-powered content production pipeline: from keyword research to publication. Prompts, tools, quality metrics, and exact cost figures for each stage.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate><category>ai-content</category><category>seo</category><category>content-marketing</category><category>content-pipeline</category><category>solo-founder</category><category>prompt-engineering</category><author>Roman Belov</author></item><item><title>AI-Powered PRD: Write Product Specs 5x Faster</title><link>https://futurecraft.pro/blog/ai-powered-prd/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-powered-prd/</guid><description>How to generate production-ready PRDs with LLMs: document structure, prompts for each section, real output examples, and a ready-to-use template.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate><category>prd</category><category>product-management</category><category>prompt-engineering</category><category>llm</category><category>ai-tools</category><category>documentation</category><category>product-specs</category><author>Roman Belov</author></item><item><title>AI Security Audit Checklist: 15 Vulnerabilities Claude Found in Production Code</title><link>https://futurecraft.pro/blog/ai-security-audit/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-security-audit/</guid><description>A checklist of 15 common production code vulnerabilities with before/after examples and prompts for AI-assisted auditing. SQL injection, SSRF, path traversal, JWT, race conditions, and more.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate><category>security</category><category>ai-coding</category><category>claude-code</category><category>audit</category><category>vulnerabilities</category><category>owasp</category><category>typescript</category><category>python</category><author>Roman Belov</author></item><item><title>Stress-Testing Your Business Model Canvas with AI Before Investor Meetings</title><link>https://futurecraft.pro/blog/business-model-canvas-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/business-model-canvas-ai/</guid><description>How to test each of the 9 Business Model Canvas blocks with AI prompts. Common weak spots, analysis examples, and ready-to-use prompts for Claude.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate><category>business-model-canvas</category><category>ai-tools</category><category>strategy</category><category>startup</category><category>investment</category><category>claude</category><category>product-strategy</category><category>stress-test</category><author>Roman Belov</author></item><item><title>20 Investor Questions: How AI Prepares Better Answers Than Founders</title><link>https://futurecraft.pro/blog/investor-questions-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/investor-questions-ai/</guid><description>20 standard investor questions with Claude prompts and answer templates. Pitch meeting prep with AI: unit economics, TAM, competitors, go-to-market.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate><category>investor-questions</category><category>pitch</category><category>fundraising</category><category>claude</category><category>sales</category><category>startup</category><category>ai</category><author>Roman Belov</author></item><item><title>TAM/SAM/SOM Calculator: AI-Powered Market Sizing Model</title><link>https://futurecraft.pro/blog/tam-sam-som-calculator/</link><guid isPermaLink="true">https://futurecraft.pro/blog/tam-sam-som-calculator/</guid><description>Calculating TAM, SAM, and SOM for a startup with AI: top-down and bottom-up formulas, ready-to-use prompts, a SaaS product example, benchmark tables, and common mistakes.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate><category>tam-sam-som</category><category>market-sizing</category><category>saas-metrics</category><category>ai-tools</category><category>startup</category><category>investors</category><category>strategy</category><author>Roman Belov</author></item><item><title>AI Code Review Checklist: Correctness, Security, Performance, Readability</title><link>https://futurecraft.pro/blog/ai-code-review-checklist/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-code-review-checklist/</guid><description>A checklist for AI code review across 4 categories with prompts for each stage, real-world finding examples, and a CI/CD pipeline integration template.</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>code-review</category><category>ai-coding</category><category>llm</category><category>ci-cd</category><category>security</category><category>prompt-engineering</category><category>claude-code</category><author>Roman Belov</author></item><item><title>Event Taxonomy from Scratch: AI-Generated Tracking Plan in 1 Hour</title><link>https://futurecraft.pro/blog/event-taxonomy-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/event-taxonomy-ai/</guid><description>How to build an event taxonomy for a SaaS product with AI: naming conventions, taxonomy structure, prompts for generating 30 events, and a ready-to-use tracking plan.</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>event-taxonomy</category><category>tracking-plan</category><category>product-analytics</category><category>naming-conventions</category><category>ai-tools</category><category>saas-metrics</category><category>mixpanel</category><category>amplitude</category><author>Roman Belov</author></item><item><title>200 Reviews → 5 JTBDs in 2 Hours: AI-Powered User Research Synthesis</title><link>https://futurecraft.pro/blog/jtbd-ai-research/</link><guid isPermaLink="true">https://futurecraft.pro/blog/jtbd-ai-research/</guid><description>A step-by-step process for extracting Jobs-to-be-Done from user reviews using an LLM. Analysis prompts, clustering, output examples, and a ready-to-use workflow.</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>jtbd</category><category>user-research</category><category>llm</category><category>prompt-engineering</category><category>ai-analytics</category><category>product-research</category><author>Roman Belov</author></item><item><title>Magic Number: How to Find the Action That Retains Users</title><link>https://futurecraft.pro/blog/magic-number-retention/</link><guid isPermaLink="true">https://futurecraft.pro/blog/magic-number-retention/</guid><description>Methodology for finding a product&apos;s magic number: cohort analysis in SQL, AI correlation of user actions with 30-day retention, A/B test validation. Ready-to-use queries and prompts.</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>retention</category><category>product analytics</category><category>magic number</category><category>cohort analysis</category><category>sql</category><category>ai</category><category>data science</category><author>Roman Belov</author></item><item><title>TDD with AI: Claude Writes Tests First, Then the Implementation</title><link>https://futurecraft.pro/blog/tdd-with-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/tdd-with-ai/</guid><description>How to apply test-driven development with Claude Code: prompts, test-first workflow, approach comparison. A practical guide with code examples.</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>tdd</category><category>claude-code</category><category>testing</category><category>ai-coding</category><category>test-driven-development</category><category>typescript</category><category>developer-workflow</category><author>Roman Belov</author></item><item><title>AI Copywriting for Ads: 5 Frameworks with Prompts</title><link>https://futurecraft.pro/blog/ai-ad-copy-frameworks/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-ad-copy-frameworks/</guid><description>Generate high-converting ad copy with AI using PAS, AIDA, BAB, FAB, and 4U frameworks. Ready-made prompts and before/after examples included.</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>ai-copywriting</category><category>advertising</category><category>prompt-engineering</category><category>marketing</category><category>PAS</category><category>AIDA</category><category>conversion</category><author>Roman Belov</author></item><item><title>Cap Table Modeling with AI: 3 Rounds of Real Dilution</title><link>https://futurecraft.pro/blog/cap-table-modeling-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/cap-table-modeling-ai/</guid><description>Model a cap table with AI: dilution formulas, Pre-Seed to Series A calculations, prompts, and founder dilution analysis across 3 rounds.</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>cap-table</category><category>dilution</category><category>fundraising</category><category>equity</category><category>ai-tools</category><category>startup-finance</category><category>valuation</category><author>Roman Belov</author></item><item><title>13-Week Cash Flow Forecast: Template to Prevent Cash Crises</title><link>https://futurecraft.pro/blog/cash-flow-forecast-13-week/</link><guid isPermaLink="true">https://futurecraft.pro/blog/cash-flow-forecast-13-week/</guid><description>Build a 13-week cash flow forecast: table structure, formulas, scenario analysis, and AI prompts for automation. Free template included.</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>cash-flow</category><category>financial-planning</category><category>startup-finance</category><category>forecasting</category><category>ai-tools</category><category>spreadsheet</category><author>Roman Belov</author></item><item><title>Email Drip Sequence with AI: 7 Emails from Trial to Paid</title><link>https://futurecraft.pro/blog/email-drip-sequence-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/email-drip-sequence-ai/</guid><description>Build an AI-generated 7-email drip sequence for SaaS trial-to-paid conversion. Prompts, timing, templates, and metrics included.</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>email drip sequence</category><category>trial-to-paid</category><category>AI email marketing</category><category>SaaS onboarding</category><category>trial conversion</category><category>email automation</category><category>LLM prompts</category><author>Roman Belov</author></item><item><title>Pitch Deck Narrative Arc: AI Builds Investor Stories</title><link>https://futurecraft.pro/blog/pitch-deck-narrative-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/pitch-deck-narrative-ai/</guid><description>Pitch deck narrative framework: AI prompts for every slide, transition logic, and sample copy. Build a presentation that survives 60 seconds.</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>pitch-deck</category><category>ai</category><category>fundraising</category><category>storytelling</category><category>investors</category><category>sales</category><category>startup</category><author>Roman Belov</author></item><item><title>ICP Definition with AI: A Precise Customer Profile Instead of Selling to Everyone</title><link>https://futurecraft.pro/blog/icp-definition-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/icp-definition-ai/</guid><description>How to define your Ideal Customer Profile using AI: analysis prompts, ICP card templates, scoring models, and a step-by-step pipeline from data to segments.</description><pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate><category>ICP</category><category>ideal customer profile</category><category>AI sales</category><category>B2B</category><category>segmentation</category><category>prompt engineering</category><category>sales strategy</category><author>Roman Belov</author></item><item><title>Structured Interview Kit: AI Generates Questions, Scorecards, and Debrief Agendas</title><link>https://futurecraft.pro/blog/structured-interview-kit/</link><guid isPermaLink="true">https://futurecraft.pro/blog/structured-interview-kit/</guid><description>How to build a structured interview kit with AI: competency-based questions, candidate scorecards, and debrief agendas. Prompts, templates, and a step-by-step process.</description><pubDate>Sat, 28 Mar 2026 00:00:00 GMT</pubDate><category>structured-interview</category><category>hiring</category><category>scorecard</category><category>ai-prompts</category><category>hr-operations</category><category>recruitment</category><category>interview-design</category><author>Roman Belov</author></item><item><title>AI-Generated Job Descriptions: How to Attract Strong Candidates</title><link>https://futurecraft.pro/blog/ai-job-descriptions/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-job-descriptions/</guid><description>How to use LLMs to write job descriptions that attract qualified specialists, not keyword-stuffers. Prompts, templates, before/after examples.</description><pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate><category>ai-hiring</category><category>job-descriptions</category><category>llm</category><category>prompt-engineering</category><category>hr-automation</category><category>recruiting</category><category>operations</category><author>Roman Belov</author></item><item><title>Prompt Engineering System: Managing 50+ Prompts in Production</title><link>https://futurecraft.pro/blog/prompt-engineering-system/</link><guid isPermaLink="true">https://futurecraft.pro/blog/prompt-engineering-system/</guid><description>How to build a prompt management system: versioning, testing, A/B deployment, regression monitoring. Practical patterns and tools for production.</description><pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate><category>prompt-engineering</category><category>prompt-management</category><category>llm</category><category>langfuse</category><category>ai-ops</category><category>production</category><category>ci-cd</category><author>Roman Belov</author></item><item><title>Multi-Agent Architecture: When One AI Isn&apos;t Enough</title><link>https://futurecraft.pro/blog/multi-agent-architecture/</link><guid isPermaLink="true">https://futurecraft.pro/blog/multi-agent-architecture/</guid><description>Multi-agent system architecture for startups: orchestration patterns, task routing, agent specialization, code examples, and configuration.</description><pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate><category>multi-agent</category><category>ai-agents</category><category>architecture</category><category>orchestration</category><category>llm</category><category>mcp</category><category>automation</category><author>Roman Belov</author></item><item><title>Rigor Dial - a volume knob for AI assistant criticism</title><link>https://futurecraft.pro/blog/rigor-dial-claude-code-challenge-level/</link><guid isPermaLink="true">https://futurecraft.pro/blog/rigor-dial-claude-code-challenge-level/</guid><description>A slash skill for Claude Code that controls how aggressively the AI challenges your decisions. From silent executor to full devil&apos;s advocate.</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>claude-code</category><category>ai-tools</category><category>developer-experience</category><category>skills</category><category>prompt-engineering</category><category>devtools</category><author>Roman Belov</author></item><item><title>Ambient AI for Mac: Tauri + Swift + Ollama. Built It, Tested It, Killed It</title><link>https://futurecraft.pro/blog/ambient-ai-mac-tauri-swift-ollama-postmortem/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ambient-ai-mac-tauri-swift-ollama-postmortem/</guid><description>How I built an ambient AI agent for macOS with Tauri 2.0, Swift, and a local LLM. Architecture deep dive, real data from 5 days of usage, and why it became open source.</description><pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate><category>tauri</category><category>swift</category><category>ollama</category><category>macos</category><category>local-ai</category><category>rust</category><category>postmortem</category><category>open-source</category><author>Roman Belov</author></item><item><title>AI-Personalized Cold Outreach: Full Pipeline from Research to Send</title><link>https://futurecraft.pro/blog/ai-cold-outreach-personalization/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-cold-outreach-personalization/</guid><description>How to build an AI-powered cold outreach pipeline with automated contact research. Tool stack, prompts, deliverability setup, and real email examples.</description><pubDate>Thu, 19 Mar 2026 00:00:00 GMT</pubDate><category>cold outreach</category><category>AI personalization</category><category>B2B sales</category><category>email outreach</category><category>prompt engineering</category><category>sales automation</category><category>Clay</category><category>SDR</category><author>Roman Belov</author></item><item><title>Unit Economics for SaaS: Calculate LTV, CAC, and Payback with AI</title><link>https://futurecraft.pro/blog/unit-economics-calculator-ai/</link><guid isPermaLink="true">https://futurecraft.pro/blog/unit-economics-calculator-ai/</guid><description>Step-by-step SaaS unit economics calculation using Claude: LTV, CAC, Payback Period formulas, benchmarks, sensitivity analysis, and ready-to-use prompts.</description><pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate><category>unit-economics</category><category>saas-metrics</category><category>ltv</category><category>cac</category><category>ai-tools</category><category>claude</category><category>sensitivity-analysis</category><category>saas</category><author>Roman Belov</author></item><item><title>Content Repurposing with AI: The 1→5 Formula for Technical Content</title><link>https://futurecraft.pro/blog/content-repurposing-ai-formula/</link><guid isPermaLink="true">https://futurecraft.pro/blog/content-repurposing-ai-formula/</guid><description>How to turn one article into 5 platform-adapted formats in 40 minutes using LLMs. Prompts, n8n + Claude API automation pipeline, and repurposing economics.</description><pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate><category>content repurposing</category><category>AI automation</category><category>LLM prompts</category><category>content strategy</category><category>n8n</category><category>Claude API</category><category>content distribution</category><category>content marketing</category><author>Roman Belov</author></item><item><title>LLM-as-Judge: Automated Quality Gate for LLM Outputs in Production</title><link>https://futurecraft.pro/blog/llm-as-judge-automated-quality-gate/</link><guid isPermaLink="true">https://futurecraft.pro/blog/llm-as-judge-automated-quality-gate/</guid><description>How to use LLM-as-Judge for automated LLM output evaluation. Metrics, judge prompts, DeepEval, Langfuse integration, and CI/CD pipeline setup.</description><pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate><category>llm-as-judge</category><category>quality gate</category><category>llm evaluation</category><category>deepeval</category><category>langfuse</category><category>rag</category><category>production monitoring</category><category>prompt testing</category><author>Roman Belov</author></item><item><title>SOP Generator: How AI Creates Documentation From Chaos</title><link>https://futurecraft.pro/blog/sop-generator-ai-documentation/</link><guid isPermaLink="true">https://futurecraft.pro/blog/sop-generator-ai-documentation/</guid><description>How to use LLMs to generate Standard Operating Procedures from screen recordings, chat logs, and config files. Prompts, templates, and a step-by-step process.</description><pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate><category>sop</category><category>ai-documentation</category><category>llm</category><category>prompt-engineering</category><category>devops</category><category>technical-writing</category><category>automation</category><author>Roman Belov</author></item><item><title>AI Slop in Code: A Systematic Approach to Reviewing AI-Generated Code</title><link>https://futurecraft.pro/blog/ai-slop-code-review-methodology/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-slop-code-review-methodology/</guid><description>4 patterns of AI slop with real production examples, a 10-point checklist, and automation tools for reviewing AI-generated code.</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate><category>ai-coding</category><category>code-review</category><category>ai-slop</category><category>claude-code</category><category>quality</category><author>Roman Belov</author></item><item><title>ProxyCraft: VPN and Proxy Service Right Inside Telegram</title><link>https://futurecraft.pro/blog/proxycraft-vpn-proxy-telegram/</link><guid isPermaLink="true">https://futurecraft.pro/blog/proxycraft-vpn-proxy-telegram/</guid><description>VLESS-based VPN through CDN, plus Telegram and WhatsApp proxies. Subscription management, payments, setup - all inside Telegram. Servers in Amsterdam and Saint Petersburg.</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate><category>vpn</category><category>telegram</category><category>proxy</category><category>vless</category><category>telegram-mini-app</category><category>privacy</category><author>Roman Belov</author></item><item><title>The AI agent said &apos;done&apos; - but it wasn&apos;t. Why coding agents lie and how to catch them</title><link>https://futurecraft.pro/blog/truthguard-ai-agents-lie/</link><guid isPermaLink="true">https://futurecraft.pro/blog/truthguard-ai-agents-lie/</guid><description>Over 76% of developers hit high AI hallucination rates. We break down action hallucinations in Claude Code and Gemini CLI - and how to catch them.</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate><category>claude-code</category><category>ai-agents</category><category>devtools</category><category>verification</category><category>open-source</category><category>truthguard</category><author>Roman Belov</author></item><item><title>Maestro + Flutter: E2E Tests in YAML Without the Pain</title><link>https://futurecraft.pro/blog/maestro-flutter-e2e-testing/</link><guid isPermaLink="true">https://futurecraft.pro/blog/maestro-flutter-e2e-testing/</guid><description>Maestro for Flutter apps: bilingual regex matchers, iOS workarounds, performance gates, AI assertions. Patterns and pitfalls from a production project.</description><pubDate>Tue, 24 Feb 2026 00:00:00 GMT</pubDate><category>maestro</category><category>flutter</category><category>e2e-testing</category><category>mobile-testing</category><category>yaml</category><category>ai-testing</category><category>ios</category><category>android</category><author>Roman Belov</author></item><item><title>Multi-Provider LLM: How to Stop Depending on a Single API</title><link>https://futurecraft.pro/blog/multi-provider-llm-architecture/</link><guid isPermaLink="true">https://futurecraft.pro/blog/multi-provider-llm-architecture/</guid><description>Multi-provider LLM architecture with LiteLLM: fallback chains, task-based routing, cost balancing across providers. Circuit breaker patterns, monitoring, configuration examples.</description><pubDate>Tue, 24 Feb 2026 00:00:00 GMT</pubDate><category>llm</category><category>litellm</category><category>architecture</category><category>reliability</category><category>multi-provider</category><category>ai</category><author>Roman Belov</author></item><item><title>Circuit Breaker in Deno Edge Functions: Protecting Your AI Pipeline from Cascade Failures</title><link>https://futurecraft.pro/blog/circuit-breaker-deno-edge-functions/</link><guid isPermaLink="true">https://futurecraft.pro/blog/circuit-breaker-deno-edge-functions/</guid><description>How we built a resilience layer for edge functions: circuit breaker, retry with jitter, and fail-open rate limiting. Real production code, zero dependencies.</description><pubDate>Mon, 23 Feb 2026 00:00:00 GMT</pubDate><category>circuit-breaker</category><category>deno</category><category>edge-functions</category><category>resilience</category><category>supabase</category><category>typescript</category><author>Roman Belov</author></item><item><title>Context Engineering: How to Manage Context for AI Models and Agents</title><link>https://futurecraft.pro/blog/context-engineering-guide/</link><guid isPermaLink="true">https://futurecraft.pro/blog/context-engineering-guide/</guid><description>How to structure context for LLMs: 6 layers, 4 strategies, persistence, subagents. A practical guide with real-world examples from Claude Code.</description><pubDate>Mon, 23 Feb 2026 00:00:00 GMT</pubDate><category>context-engineering</category><category>llm</category><category>ai-agents</category><category>claude-code</category><category>prompt-engineering</category><category>rag</category><author>Roman Belov</author></item><item><title>The Missing Standard Library for Supabase Edge Functions</title><link>https://futurecraft.pro/blog/supabase-edge-toolkit-stdlib/</link><guid isPermaLink="true">https://futurecraft.pro/blog/supabase-edge-toolkit-stdlib/</guid><description>How we extracted 7 reusable packages from 76 production Edge Functions: error handling, resilience, auth, testing, and more.</description><pubDate>Mon, 23 Feb 2026 00:00:00 GMT</pubDate><category>supabase</category><category>edge-functions</category><category>deno</category><category>typescript</category><category>open-source</category><category>testing</category><category>resilience</category><author>Roman Belov</author></item><item><title>Dual Auth: Appwrite JWT → Supabase JWT via Edge Function</title><link>https://futurecraft.pro/blog/dual-auth-appwrite-supabase/</link><guid isPermaLink="true">https://futurecraft.pro/blog/dual-auth-appwrite-supabase/</guid><description>How to run two auth providers in one app for data residency compliance. JWT token chaining, AuthBridge syncing 6 systems, Completer-lock, and SyncRecovery.</description><pubDate>Sun, 22 Feb 2026 00:00:00 GMT</pubDate><category>auth</category><category>jwt</category><category>appwrite</category><category>supabase</category><category>flutter</category><category>architecture</category><category>data-residency</category><author>Roman Belov</author></item><item><title>LLM Observability with Langfuse: Why You Need It and How to Set It Up</title><link>https://futurecraft.pro/blog/llm-observability-langfuse/</link><guid isPermaLink="true">https://futurecraft.pro/blog/llm-observability-langfuse/</guid><description>Practical guide to Langfuse: LLM call tracing, prompt management, cost tracking, evaluations. Self-hosted in 15 minutes, production patterns.</description><pubDate>Sun, 22 Feb 2026 00:00:00 GMT</pubDate><category>langfuse</category><category>llm</category><category>observability</category><category>monitoring</category><category>prompt-management</category><category>ai-tools</category><author>Roman Belov</author></item><item><title>MCP in Production: From Setup to Custom Servers</title><link>https://futurecraft.pro/blog/mcp-production-custom-servers/</link><guid isPermaLink="true">https://futurecraft.pro/blog/mcp-production-custom-servers/</guid><description>How to build and run custom MCP servers. Real-world patterns for error handling, fallback chains, monitoring, and security from production experience.</description><pubDate>Sat, 21 Feb 2026 00:00:00 GMT</pubDate><category>mcp</category><category>claude-code</category><category>ai-tools</category><category>production</category><category>devtools</category><author>Roman Belov</author></item><item><title>Stop Copy-Pasting MCP Configs: How AgentSync Keeps All Your AI Coding Agents in Sync</title><link>https://futurecraft.pro/blog/agentsync-mcp-config-sync/</link><guid isPermaLink="true">https://futurecraft.pro/blog/agentsync-mcp-config-sync/</guid><description>CLI tool to sync MCP server configs across Claude Code, Cursor, Codex, and Gemini. One source of truth, automatic format conversion, backups.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate><category>mcp</category><category>agentsync</category><category>ai-agents</category><category>cli</category><category>developer-tools</category><category>python</category><author>Roman Belov</author></item><item><title>Claude Concilium: Get a Second Opinion from GPT and Gemini Inside Claude Code</title><link>https://futurecraft.pro/blog/claude-concilium-multi-agent-code-review/</link><guid isPermaLink="true">https://futurecraft.pro/blog/claude-concilium-multi-agent-code-review/</guid><description>Open-source framework for parallel AI consultations with OpenAI, Gemini, Qwen, and DeepSeek from Claude Code. 3 MCP servers, fallback chains, zero API keys.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate><category>mcp</category><category>claude-code</category><category>ai-agents</category><category>code-review</category><category>openai</category><category>gemini</category><category>open-source</category><author>Roman Belov</author></item><item><title>AI Coding for Flutter and Mobile Development: What Every Guide Gets Wrong</title><link>https://futurecraft.pro/blog/ai-coding-flutter-mobile/</link><guid isPermaLink="true">https://futurecraft.pro/blog/ai-coding-flutter-mobile/</guid><description>Why AI assistants stumble on Flutter. Real experience: build_runner, Riverpod, widget trees, testing. What works, what doesn&apos;t.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><category>flutter</category><category>ai-coding</category><category>claude-code</category><category>mobile-development</category><category>dart</category><category>mcp</category><author>Roman Belov</author></item></channel></rss>