2026
2025
08-07
Momentum: A Workflow That Helped Me BuildPackaging six months of workflow iteration into momentum - a Claude Code workflow that actually ships by treating AI as a compiler for operator expertise.
claude-codeworkflow
07-30
The Real Cost of Claude Code SubagentsAfter burning through tokens with subagents, I learned when they're worth it and when custom commands work better.
aiclaude-code
07-24
F.O.C.U.S.A meditation on constraint as capability
aillm
07-18
Don't Let LLMs Run the ShowWhy LLMs excel at building software but struggle when put in control of runtime decisions and execution flow.
aidevelopment
07-10
How I Made Claude Code Actually Ship Software: A Systematic Workflow That WorksBuilding a systematic Claude Code workflow with commands, quality gates, and evidence-based completion that consistently ships working software.
claude-codeworkflow
07-09
Force Your LLM to SpikeHow forcing LLMs to perform research spikes before implementation can induce engineering behavior instead of just coding.
engineeringllm
07-04
Building My First Claude Code Hook: Closing the Hope and Pray GapHow I discovered that the missing piece in my Claude Code + Desktop workflow wasn't better context management—it was finally having guardrails that actually know my standards.
claude-codehooks
06-27
Claudex: From Ad-Hoc Context Creation to Repeatable GenerationBuilding on the three-layer memory system to eliminate the constant re-explaining of development preferences.
aidevelopment
06-18
The Interview Pattern: Why AI Should Ask Before It ActsA short exploration of why letting AI interview you before implementation leads to better outcomes than discovering problems after the fact.
aidevelopment
06-10
Beyond Prompting: Why LLMs Break Down on Well-Architected Code and How Composition Saves DevelopmentHow we discovered that LLM limitations reveal fundamental truths about software architecture in the AI era
aidevelopment
06-09
The Architecture of Laziness: Why LLMs Are Fundamentally Designed to Cut CornersAI-assisted development tools consistently cut corners on complex work. The problem isn't training or prompt engineering—it's architectural.
aidevelopment
06-06
The Right Agent, Right Context, Right Time: Why Universal Context Doesn't Mean Universal AccessUniversal context doesn't mean the agent gets it all in one go. Here's what I learned building agentic systems that actually work.
aiagents
05-30
The Systematic BreakthroughPart 2 - Why "Smarter" Prompts Often Fail and What This Reveals About AI Limitations
aisecurity
05-30
From 47 Manual Iterations to Systematic ValidationPart 1 - The Breaking Point
aiprompt-engineering
05-23
The Curious Case of the Thinking MachineWhen Smart Models Get Too Clever
aiclaude
05-23
Claude Code Memory OptimizationA Step-by-Step Implementation Guide
aisecurity
05-23
Beyond Comprehensive ContextHow Daily Claude Code Usage Taught Me Token Efficiency
aisecurity
05-10
Making Security Ambient: Seamless Checks in the Age of Vibe-CodingHow Claude Code's Custom Commands Transform Security from Checkpoint to Atmosphere
aisecurity
05-02
Orchestrating Security ActionsThe Pragmatic Value of LLM Agents
aisecurity
04-21
Bridging the Cognitive Gap: Why LLMs Don't Think Like Security Experts..YetWhy even the most advanced LLMs still can't reason like security experts — and what we need to build instead.
aisecurity
04-15
The Indispensable Human-in-the-MiddleWhy AI Security Needs Human Oversight
aisecurity
04-08
MCP-Censys: Claude and MCP Meets Censys
aisecurity
04-01
Prompt Engineering in CybersecurityThe Evolving Role of the Hacker-Strategist
aisecurity
03-28
Architecting Security's Future: Why Hacker-Strategists Will Lead the AI EvolutionWhy the Integration of Human Insight and AI Will Define the Next Era of Security
aisecurity
2024
12-16
Is TLS Your Biggest Problem? The Appendix
securitytls
12-16
Is TLS Your Biggest Problem?
securitytls
11-26
Sayable: Because AI Text Should Sound Good TooA quick experiment in making AI output more TTS-friendly
aipython
11-07
Beyond Critical: Why Vulnerability Management is Failing Security TeamsAn in-depth analysis of why traditional vulnerability management approaches focusing on CVSS and EPSS scores fail to address real-world exploitation requirements
securitycybersecurity
11-01
The Vulnerability Scanning Paradox
securitycybersecurity
10-31
censyspy: FQDN Discovery via Censys
securitytools
10-29
Hello World