Deep dives into projects built with AI pair programming using Claude Code and Qwen.
'/%3E%3Ccircle cx='990' cy='120' r='150' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='180' cy='520' r='190' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='105' y='110' width='990' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='155' y='220' fill='white' font-family='Arial, sans-serif' font-size='50' font-weight='700'%3ERepo Playbooks for%3C/text%3E%3Ctext x='155' y='292' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='50' font-weight='700'%3EAI Coding Agents%3C/text%3E%3Ctext x='155' y='378' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3EAGENTS.md, CLAUDE.md, and rules that reduce drift%3C/text%3E%3C/svg%3E)
A practical guide to using repo-specific instruction files like AGENTS.md and CLAUDE.md to make AI coding agents safer, more consistent, and much easier to review.
'/%3E%3Ccircle cx='990' cy='120' r='150' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='175' cy='520' r='190' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='105' y='110' width='990' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='155' y='220' fill='white' font-family='Arial, sans-serif' font-size='54' font-weight='700'%3ECursor Rules for%3C/text%3E%3Ctext x='155' y='292' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='54' font-weight='700'%3EMonorepos%3C/text%3E%3Ctext x='155' y='378' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3ELayered guardrails, scoped context, and faster verification loops%3C/text%3E%3C/svg%3E)
A practical guide to using Cursor effectively in large monorepos with layered rules, scoped context, repo maps, verification loops, and guardrails that stop AI edits from wandering across the codebase.
A practical guide to reviewing AI-generated pull requests with scoped diffs, invariant checklists, CI guardrails, and fast human approval loops.
'/%3E%3Ccircle cx='980' cy='120' r='145' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='180' cy='520' r='190' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='105' y='110' width='990' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='155' y='220' fill='white' font-family='Arial, sans-serif' font-size='50' font-weight='700'%3EPrompt Caching for%3C/text%3E%3Ctext x='155' y='292' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='50' font-weight='700'%3ETool-Heavy AI Agents%3C/text%3E%3Ctext x='155' y='378' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3EStable prefixes, compaction, and lean retrieval for lower latency%3C/text%3E%3C/svg%3E)
A practical guide to reducing latency and cost in tool-heavy AI agents with stable prompt prefixes, prompt caching, context compaction, and retrieval boundaries.
'/%3E%3Ccircle cx='980' cy='120' r='150' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='180' cy='520' r='190' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='105' y='110' width='990' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='155' y='220' fill='white' font-family='Arial, sans-serif' font-size='52' font-weight='700'%3ETracing AI Agents%3C/text%3E%3Ctext x='155' y='292' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='52' font-weight='700'%3Ewith OpenTelemetry%3C/text%3E%3Ctext x='155' y='378' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3EDebug tool calls, latency, tokens, and multi-step failures%3C/text%3E%3C/svg%3E)
A practical guide to using OpenTelemetry and OpenInference to trace agent workflows, inspect tool calls, track token spend, and debug multi-step failures without drowning in flat logs.
'/%3E%3Ccircle cx='995' cy='120' r='145' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='185' cy='515' r='190' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='105' y='110' width='990' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='155' y='220' fill='white' font-family='Arial, sans-serif' font-size='52' font-weight='700'%3ELocal LLM Dev Environments%3C/text%3E%3Ctext x='155' y='292' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='52' font-weight='700'%3EFast, Cheap, and Private%3C/text%3E%3Ctext x='155' y='378' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3EOllama, Open WebUI, coding clients, and smart fallbacks%3C/text%3E%3C/svg%3E)
A practical guide to building a local LLM development environment with Ollama, Open WebUI, coding tools, quantization choices, prompt/version hygiene, and smart fallbacks when local models are not enough.
'/%3E%3Ccircle cx='985' cy='130' r='145' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='175' cy='520' r='190' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='100' y='110' width='1000' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='150' y='225' fill='white' font-family='Arial, sans-serif' font-size='52' font-weight='700'%3EPractical RAG Evaluation%3C/text%3E%3Ctext x='150' y='295' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='52' font-weight='700'%3EThat Catches Real Failures%3C/text%3E%3Ctext x='150' y='380' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3EScore retrieval, grounding, and regressions separately%3C/text%3E%3C/svg%3E)
A practical guide to evaluating RAG systems by separating retrieval from generation, building grounded test sets, tracking the right metrics, and running regression checks before users find the bugs.
'/%3E%3Ccircle cx='1015' cy='125' r='145' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='180' cy='525' r='190' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='105' y='110' width='990' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='155' y='225' fill='white' font-family='Arial, sans-serif' font-size='54' font-weight='700'%3EAgent Memory Strategies%3C/text%3E%3Ctext x='155' y='295' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='54' font-weight='700'%3Efor Production%3C/text%3E%3Ctext x='155' y='380' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3EWorking memory, write policies, retrieval, and drift control%3C/text%3E%3C/svg%3E)
A practical guide to designing memory for AI agents with working memory, episodic summaries, semantic facts, write policies, retrieval rules, and debugging loops that stay useful over time.
'/%3E%3Ccircle cx='1010' cy='140' r='150' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='160' cy='520' r='200' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='105' y='110' width='990' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='155' y='225' fill='white' font-family='Arial, sans-serif' font-size='54' font-weight='700'%3EClaude Code Workflows%3C/text%3E%3Ctext x='155' y='295' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='54' font-weight='700'%3Efor Large Refactors%3C/text%3E%3Ctext x='155' y='380' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3ESpecs, checkpoints, and verification loops that scale%3C/text%3E%3C/svg%3E)
A practical guide to using Claude Code for large refactors with specs, checkpoints, verification loops, and guardrails that keep big changes understandable.
'/%3E%3Ccircle cx='960' cy='120' r='150' fill='%2327d3ff' fill-opacity='0.12'/%3E%3Ccircle cx='180' cy='520' r='190' fill='%238d6bff' fill-opacity='0.14'/%3E%3Crect x='110' y='110' width='980' height='410' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='165' y='235' fill='white' font-family='Arial, sans-serif' font-size='56' font-weight='700'%3EHarden OpenClaw%3C/text%3E%3Ctext x='165' y='305' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='56' font-weight='700'%3Eon a VPS%3C/text%3E%3Ctext x='165' y='390' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3EKeep the assistant useful without giving it a blank check%3C/text%3E%3C/svg%3E)
A practical guide to hardening OpenClaw on a VPS with least-privilege credentials, network restrictions, approval boundaries, cron hygiene, and operations checks that actually matter.
'/%3E%3Ccircle cx='980' cy='120' r='140' fill='%2327d3ff' fill-opacity='0.14'/%3E%3Ccircle cx='180' cy='520' r='180' fill='%238d6bff' fill-opacity='0.16'/%3E%3Crect x='120' y='120' width='960' height='390' rx='28' fill='%230f172a' stroke='%2338bdf8' stroke-opacity='0.35'/%3E%3Ctext x='170' y='250' fill='white' font-family='Arial, sans-serif' font-size='54' font-weight='700'%3ESecure MCP Server%3C/text%3E%3Ctext x='170' y='320' fill='%2390cdf4' font-family='Arial, sans-serif' font-size='54' font-weight='700'%3EDesign Patterns%3C/text%3E%3Ctext x='170' y='395' fill='%23cbd5e1' font-family='Arial, sans-serif' font-size='28'%3EPractical guardrails for tool-calling agents%3C/text%3E%3C/svg%3E)
A practical guide to building MCP servers that stay useful under real agent workloads without turning into a security liability. Covers tool boundaries, approval flows, validation, session isolation, prompt-injection defenses, and observability.
How I built a collection of 8 browser games (Snake, Pong, Tic Tac Toe, Memory, Breakout, Flappy, 2048, and Sudoku) using Claude Code and Qwen for AI pair programming. Explores game loops, collision detection, AI opponents, and the collaborative development process.
How I built an AI-powered document-to-quiz generator that converts PDFs and textbooks into chapter-level quizzes. Covers document parsing, question generation, quiz engines, and using AI for educational technology.
How I built a comprehensive mortgage cost calculator that models the true cost of homeownership. Includes financial formulas, amortization schedules, data visualization, and AI-assisted TypeScript development.
How I built a comprehensive stock tracking and analysis tool with technical indicators, portfolio management, and visualizations. Covers API integration, RSI, MACD, Bollinger Bands, and AI pair programming for financial tools.
More writeups coming soon...