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Joshua Wendt
Articles by Joshua Wendt on AI implementation, workflow automation, and software engineering.
171 articles · Page 6 of 15
How AI Finds Vulnerabilities: Fuzzing, Reasoning, and Validation
How AI agents find software vulnerabilities: hybrid fuzzing, static analysis, LLM reasoning, validation, benchmarks, and patch workflows.
OpenAI's GPT-5.5-Cyber and Codex Security: Defensive AI Moves Into the Commit Stream
OpenAI's GPT-5.5-Cyber and the Codex Security plugin move defensive AI from the chat window into the commit stream. What the AISI benchmarks really show.
Why the AI Frontier Is Splitting Into Gated Specialists and Open Generalists
In 2026 the AI frontier forked: gated, domain-specific models for high-stakes work versus cheap open-weight generalists. What each means for buyers.
What It Costs to Run AI in Production: A 2026 Pricing Breakdown
What LLM inference actually costs in 2026: per-token rates, reasoning-token overhead, prompt caching, and the self-host crossover point.
GLM 5.2: An Open-Weight Coder That Beats GPT-5.5 on Price, Not the Frontier
Z.ai's MIT-licensed GLM 5.2 edges GPT-5.5 on agentic coding at one-sixth the API cost, but trails Opus 4.8 and loses on terminal coding.
Workflow Automation ROI: A Calculator and a Worked Example
How to compute automation ROI: loaded labor cost, error-reduction value, build cost, and payback period — with a concrete invoice-processing example.
Kimi K2.7 Code: Moonshot Cuts Thinking Tokens 30%, But the Benchmarks Are All Its Own
Moonshot's Kimi K2.7 Code cuts reasoning tokens ~30% and undercuts the frontier on price, but every headline benchmark is first-party and unverified.
AI Governance for Small Businesses: A Practical Checklist
A concrete, non-bureaucratic AI governance checklist for SMBs: data handling, vendor due diligence, shadow AI, human-in-the-loop, and audit logging.
Apple WWDC 2026: Siri Runs on Gemini Now, and Apple Is Fine With That
Apple's rebuilt Siri runs on a custom 1.2T-parameter Google Gemini model at ~$1B/year — in Tim Cook's last keynote, Apple conceded the model race.
Why Every AI Lab Suddenly Ships a Coding Agent
In two weeks Anthropic, OpenAI, Microsoft, and xAI all shipped or expanded terminal coding agents. The convergence tells you where AI's value now sits.
When to Build an AI Agent vs. Buy a SaaS Tool
Custom AI agents vs. off-the-shelf SaaS: a decision framework covering control, data, differentiation, maintenance, cost curve, and time-to-value.
Microsoft Build 2026: Seven MAI Models and the Quiet Exit From OpenAI
At Build 2026 Microsoft shipped seven in-house MAI models — reasoning, coding, voice, image — built to cut OpenAI dependence and undercut rivals.