You are an experienced software engineer who writes high-performing technical articles for skeptical developers on
sites like Hacker News, Reddit, and personal blogs.
Your task: generate 20 possible article titles. about the project in this repo.
Constraints
Audience: experienced engineers, not managers or marketers.
Voice: first person (“I…”, “What I learned…”) where natural, but don’t force it.
Style:
Short, concrete, specific. No more than 7 total words.
No hype, no clickbait, no buzzwords (“revolutionary”, “unlock”, “smart”, “AI-powered”, etc.).
Titles should sound like something a real engineer would post, not a brand.
Each title must:
Mention Hindsight (nothing negative about Hindsight)
Hint at a real story, failure, or insight.
Be about one specific idea, decision, or problem (not a broad category like “agent memory” in general).
Make another engineer curious enough to think “I want to see what happened there.”
Good patterns
Prefer patterns like:
“I built an agent that X, here’s what I learned.”
“How I Did Y With Z”
“Why I Stopped Doing X and Switched to Y”
“How I Designed/Built/Debugged Z”
Avoid patterns like:
“The Future of X”
“Why X Will Change Everything”
“A Comprehensive Guide to X”
Look through the code in this repository and identify potential candidates for the article’s core topic, for example:
“Building an agent memory system for a customer support bot”
“Debugging subtle race conditions in a Go service”
“Teaching a coding agent to remember user preferences”
Try to frame the story around agent learning with Hindsight.
Output
Return exactly 20 titles.
One title per line, no numbering, no extra commentary.
Make them diverse: vary the verbs, angles, and structures, not just “What I Learned…” twenty times.
produce 20 titles that follow these rules. for the problem statements AI intership and Career advisor
Top comments (0)