From 6301e8fe6c66bef580e37d1058c6cd264ab588b4 Mon Sep 17 00:00:00 2001 From: omar Date: Tue, 2 Jun 2026 09:40:16 -0600 Subject: [PATCH] Add 2026-06-02 blog topic post Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- docs/posts/2026/06/02/index.md | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 docs/posts/2026/06/02/index.md diff --git a/docs/posts/2026/06/02/index.md b/docs/posts/2026/06/02/index.md new file mode 100644 index 00000000..0cc95ba9 --- /dev/null +++ b/docs/posts/2026/06/02/index.md @@ -0,0 +1,23 @@ +--- +title: "Context Engineering: Prompting Is Not Enough" +date: 2026-06-02 +authors: + - omar +categories: + - Technical + - Community +tags: + - ai + - best-practices + - open-discussion +--- + +This week, let's talk about **context engineering**: the practical work around AI systems that goes beyond writing a single prompt. Good results often come from better context shaping, retrieval choices, evaluation loops, and clear guardrails, not just "better wording." + +Discussion starters: + +- What has had the biggest impact for you: prompt structure, system instructions, retrieval quality, tool use, or evals? +- Where do AI-assisted workflows still break down in real teams (code review, debugging, docs, testing, handoffs)? +- What's one habit or pattern you've adopted that made AI outputs more reliable? + +Everyone and anyone is welcome to [join](https://weeklydevchat.com/join/) as long as you are kind, supportive, and respectful of others. Zoom link will be posted at 12pm MDT.