Full-stack developer shares workflow for managing AI coding assistants through strict scoping and checks
11/07/2026 — 11/07, 15:20·1 sources (all)·1 reports (all)
Key takeaways
- Full-stack developer Amine Affif has outlined his daily workflow for leveraging AI coding assistants. The core strategy relies on clearly de…
Background & analysis
On November 7, 2026 at 15:00, DEV Community's AI section published a write-up by full-stack developer Amine Affif on how he manages AI coding assistants in his day-to-day work. Affif says he works with a code agent every day and argues that what actually changes the outcome is not the tool itself, but what he does before and after the request.
In his workflow, the front end is deliberately restrictive. He compresses the request into a single sentence, treating that as the threshold for a request being ready: if he cannot state what he wants in one sentence, it is not something to hand off yet, but rather something to discuss with people first. He also sets the scope beforehand, spelling out what the agent may touch and what it must not touch, and he defines the acceptance check up front — for example a test, a page to be opened, or a command that has to pass.
On the back end, he verifies the result, including re-reading the diff rather than taking the generated code at face value. Affif explains the reasoning behind these precautions: if the request is vague, an agent fills the gap with whatever seems plausible, and plausible does not necessarily mean correct. The upfront framing and the post-hoc checks are his way of countering that uncertainty. The supplied excerpt ends mid-sentence at the point where he describes re-reading the diff, so the later part of his write-up is not available in the material provided.
AI-generated from 1 reports · updated 10 hours ago
- Heat index
- 74
- All sources
- 1
- All reports
- 1
- First seen
- 10 hours ago
Reports on this story headlines open the original
Full-stack developer Amine Affif shared his daily workflow for working with AI coding agents. He emphasizes that the real productivity gain comes from precise boundary setting before generation and strict diff checks afterwards rather than blind trust.
DEV Community · AIAI score 66
Other stories people are talking about
- Heat index 755OpenAI closes $11B tranche at $1.25T valuation, down from a $30B plan12 sources
- Heat index 711Anthropic IPO valuation expectations fall to $1.1 trillion amid AI selloff14 sources
- Heat index 509Meta adds Spaces and a new model to Muse in the US11 sources
- Heat index 483Thinking Machines Lab releases Inkling 2 Small amid reported $5B funding round12 sources
- Heat index 366Gemini Omni 1.2 Flash is now available via Gemini API, Google AI Studio and Google Cloud, generating native 15-second audio-video clips at $0.07 per second.10 sources
How is heat calculated?About the methodHide
Heat counts how many independent sources covered a story in the last 48 hours: one source counts once no matter how many posts it published, decaying with a 24-hour half-life. What ranks first is what many people are talking about.
This page aggregates public feeds. Headlines and summaries are machine-organized and remain the property of the original authors; verify important facts at the source. If you believe a headline or summary infringes your rights, email the contact address in the footer with the page URL and basis of your claim, and we will remove or replace it after review.
- Surge
- Discussion rising fast
- New
- First report within 6 hours
- Rising
- Still gathering discussion

