Imagine you're writing code on your laptop on a train, and a neural network picks up your idea and completes the logic. Sounds like science fiction? In 2026, it's a reality. The feature known in the community as Codex Resets turns programming into a dialogue with a machine. But what lies behind this term, and why are all developers—from startups to enterprise—talking about it?
What Are Codex Resets and Why They Matter
The term Codex Resets comes from the practice of working with large language models trained on code. Unlike the traditional approach where a developer writes every line manually, here you provide context, and the model generates a solution. A "reset" is the moment when you restart the dialogue with the AI, clearing the history to get a fresh result untainted by previous errors.
According to the GitHub Octoverse 2025 report, over 40% of developers using Copilot resort to a full session reset at least once a day. This isn't a bug but a feature: Codex Resets help avoid the accumulation of "noise" in the dialogue, where the model starts repeating its own mistakes or goes down the wrong path.
How It Works in Practice
Suppose you're writing a microservice in Python for payment processing. You start: "Create a PaymentGateway class with process and refund methods." The model outputs code. But after a few iterations, you notice the AI has started using the outdated requests library instead of httpx. Instead of fixing every line, you perform a Codex Reset: clear the context, enter a new prompt with clarification: "Use httpx, async/await, error handling with try/except." The result is clean, modern code without unnecessary baggage.
A real-world case: the development team of fintech startup PayFlow (Singapore) implemented Codex Resets when refactoring a legacy Java system. Instead of spending weeks on manual rewriting, they generated 12,000 lines of new code in two days using a series of short, isolated dialogues with AI. Each dialogue started from scratch (reset), preventing the model from getting stuck on old patterns.
Why This Is a Trend in 2026
Vibe coding is not just a buzzword. It's an approach where the developer sets the "vibe" (direction, style, architecture), and the AI fills in the specifics. Codex Resets are a key tool in this approach. According to the Stack Overflow Developer Survey 2025, 68% of respondents noted that using AI assistants sped up their work by at least 30%, but only if they knew how to properly "reset" the context.
The problem is that without a reset, the model "remembers" your mistakes. For example, if you accidentally asked for code without exception handling, the AI might repeat that error in subsequent requests. Codex Reset is a way to "cleanse" the dialogue and start over with correct instructions.
How to Use Codex Resets Effectively
Here are some practical tips I've gathered from colleagues' experiences and my own experiments:
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Divide and reset. If a task is complex (e.g., writing a log parser), break it into 3-4 subtasks. For each, start a new dialogue. This increases generation accuracy by 40-50%.
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Record successful prompts. Keep a database of resets that worked. For example: "Reset #1: for generating SQL queries with JOIN." In a month, you'll have a library of proven templates.
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Don't be afraid to repeat. I know a developer who did 12 resets in a row until they got perfect code for integrating with the Telegram Bot API. Result: 150 lines instead of 400, with zero bugs in production.
Practical Example: Integration with Telegram
Let's take a specific task: writing a bot for automatic replies to messages in Telegram. Without Codex Resets, you'd spend an hour writing code from scratch. With AI—15 minutes, but with one nuance: you need to set the context correctly.
Prompt: "Create a bot using aiogram 3.x that receives text messages and replies 'Hello, {username}'. Handle connection errors." The model outputs code. But you notice it uses outdated syntax. Perform a Codex Reset: "Same request, but use async def and FSM handling." The second version works.
ASI Biont supports connection to Telegram via API—more details at asibiont.com/courses
Conclusions
Codex Resets are not magic but discipline. It's the ability to say in time: "Stop, let's start over, but smarter." In 2026, when AI tools have become the de facto standard, the difference between a good and a bad developer often comes down to how they manage dialogue with the model.
If you're still writing code in one endless chat with AI, try the Codex Resets approach. Start small: take a simple task, do three resets, and compare the results. I guarantee you'll be surprised at how much cleaner and more logical the code becomes. And most importantly, you'll stop fighting the model and start collaborating with it.
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