u/Few-Scarcity7414

Been experimenting with structured prompt engineering for software development workflows over the last few weeks.

Most “AI coding prompts” I found online felt very generic, so I started building a more system-oriented collection for actual engineering tasks:

* debugging workflows * architecture planning * refactoring * security reviews * test generation * CS theory breakdowns * prompt chaining workflows

One thing I noticed:
LLMs become dramatically more useful when the prompts force structured reasoning instead of just “write code for X”.

For example:

* brute force → optimized transitions * root-cause debugging flows * architecture tradeoff analysis * mandatory edge-case evaluation * test-first workflows

I packaged everything into a developer-focused toolkit mainly for my own workflow + learning.

Curious:
How are you all structuring prompts for larger engineering tasks these days?

Are you using:

* reusable system prompts? * chained workflows? * repo-aware prompting? * AI pair programming setups?

Would love to learn how others here are approaching it.

Been experimenting with structured prompt engineering for software development workflows over the last few weeks.

Most “AI coding prompts” I found online felt very generic, so I started building a more system-oriented collection for actual engineering tasks:

• debugging workflows
• architecture planning
• refactoring
• security reviews
• test generation
• CS theory breakdowns
• prompt chaining workflows

One thing I noticed:
LLMs become dramatically more useful when the prompts force structured reasoning instead of just “write code for X”.

For example:

• brute force → optimized transitions
• root-cause debugging flows
• architecture tradeoff analysis
• mandatory edge-case evaluation
• test-first workflows

I packaged everything into a developer-focused toolkit mainly for my own workflow + learning.

Curious:
How are you all structuring prompts for larger engineering tasks these days?

Are you using:

• reusable system prompts?
• chained workflows?
• repo-aware prompting?
• AI pair programming setups?

Would love to learn how others here are approaching it.

Trying to build a Notion system that actually helps with execution instead of becoming another abandoned productivity page 😭

Current idea includes:

\- daily task dashboard

\- automatic “Today” view

\- time blocking

\- priority matrix

\- weekly reviews

\- project-linked tasks

\- workload tracking

What’s the biggest thing missing from your current productivity setup?

Or what’s the reason you stopped using most productivity systems after a week?

Building a Notion template for DSA + spaced repetition because I got tired of forgetting problems after solving them once 💀

Trying to make something that tracks:

- patterns

- weak areas

- revision cycles

- retry frequency

- interview readiness

Would love suggestions: What feature would make a DSA tracker actually useful instead of becoming another abandoned Notion page?