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image of Beyond Prompting: A Dive into Context in AI
Beyond Prompting: A Dive into Context in AI

Context is the working memory of an AI model — and one of its biggest bottlenecks. Why LLM responses degrade as chats grow, what "lost in the middle" means, and why unwritten human knowledge keeps software engineering a human-in-the-loop discipline.

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image of Should AI Ever Be Allowed to Say "I Don't Know"?
Should AI Ever Be Allowed to Say "I Don't Know"?

AI answers everything with impressive confidence — and that may be exactly what makes it dangerous. Why an AI that admits uncertainty, instead of confidently guessing or eagerly agreeing with you, could become the more trustworthy one.

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image of Reading Novels Matters More Than You Think
Reading Novels Matters More Than You Think

Why fiction is quietly one of the last cognitive workouts left standing — and what happens to the people who've stopped doing it. What a decade of empathy research, longitudinal brain studies, and falling reading rates say about the habit we're giving up.

image of Pichsorita Yim
Pichsorita Yim

July 16

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image of Advanced Agentic AI for Product Leaders (No-Code): Free Hands-On Workshop, July 17 in Palo Alto
Advanced Agentic AI for Product Leaders (No-Code): Free Hands-On Workshop, July 17 in Palo Alto

Part 3 of the Igniter Silicon Valley Agentic AI Bootcamp: a free, hands-on, no-code workshop for VPs, CPOs, CTOs, and senior product leaders. Design parallel research workflows, request routing, human-AI governance, and multi-agent systems for your own organization — Friday, July 17, 6:30–8:30 PM at the Oshman Family JCC in Palo Alto. Limited to 50 seats.

image of Raj Lal
Raj Lal

July 10

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image of The Rise of Vertical AI Agents: Why Software Engineering Is Becoming an Orchestration Discipline
The Rise of Vertical AI Agents: Why Software Engineering Is Becoming an Orchestration Discipline

AI coding tools have gone from novelty to default infrastructure in under three years, and the job of "software engineer" is being redefined around orchestration, not authorship. What the adoption data shows, where ROI and governance still lag, and the one question leaders should be asking about agent-written production code.

image of Pichsorita Yim
Pichsorita Yim

July 10

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image of Planning and Executing — Finding a Balance
Planning and Executing — Finding a Balance

How much time should you spend planning versus actually completing a task? Too much planning only slows down progress. A practical five-step starter template — plus the Eisenhower Matrix and the 70/30 rule — for setting boundaries on planning and prioritizing high-leverage action.

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image of The Speed Trap: Why AI Means Code Reviews Are More Important Than Ever
The Speed Trap: Why AI Means Code Reviews Are More Important Than Ever

AI can write fifty lines of clean code in ten seconds, but code that looks finished is not the same as code that works. A new developer's perspective on why the real skill is shifting from writing code to reviewing it — and the habits that make working alongside AI safe.

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image of What To Do When Your Token Limit Has Reached in Your AI Copilot
What To Do When Your Token Limit Has Reached in Your AI Copilot

A survival guide for the modern knowledge worker, caught mid-thought and out of tokens. Nine HR-approved steps for surviving the five little words that end civilizations: "You've reached your usage limit."

image of Raj Lal
Raj Lal

July 10

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image of Together we make new colors.
Together we make new colors.

A base model is asked to state the difference between humans and AI. It answers in a reasoning trace, and arrives at a prism instead of a mirror.

image of Raj Lal
Raj Lal

June 30

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