Stop Guessing and Start Knowing.

DeCoder's new Change Advisor lets you describe a code change in plain English and receive a full impact assessment — risks, timelines, affected files, and a step-by-step implementation plan — in seconds.

"How long will this take?" and "What could go wrong?" are the two questions that haunt every engineering team before a significant code change. DeCoder now answers both — before you write a single line.

Software development is full of unknowns. You have a clear idea of what needs to change — perhaps you need to add rate limiting to an API, extract authentication into a dedicated service, or migrate a database — but the path from intent to implementation is rarely a straight line. Hidden dependencies, underestimated complexity, and overlooked business risks have a habit of turning a "two-day job" into a two-week saga.

DeCoder's new Change Advisor feature is designed to close that gap. By combining deep static analysis of your codebase with the reasoning capabilities of large language models, it transforms a plain-English description of a proposed change into a comprehensive, structured change plan — complete with risk assessment, effort estimates, implementation steps, and a precise list of affected files.

HOW IT WORKS

The experience begins on the Change Advisor tab within any analysed project. You simply describe what you want to do — in natural language, exactly as you might brief a senior engineer. There are no forms to fill, no drop downs to configure. You write something like:

"Add rate limiting to the API endpoints"

"Extract the authentication logic into a dedicated service"

"Migrate the database from SQLite to PostgreSQL"

"Improve error handling throughout the application"

DeCoder then analyses the imported codebase — its structure, dependencies, coupling, and existing patterns — and produces a full change plan within moments. The result is not a generic template. It is grounded in the specifics of your code.

WHAT YOU GET BACK

The output is structured across several distinct sections, each designed to answer a different question a stakeholder or engineer might have before committing to the change.

Business Risk Assessment

• A plain-English analysis of what could go wrong commercially if the change is poorly executed, rated by severity — Low, Medium, or High.

Effort Estimate

• A realistic time estimate based on the actual complexity of the change within your specific codebase, not a generic figure.

Implementation Steps

• A numbered, ordered sequence of concrete tasks — from evaluating interaction patterns through to updating documentation.

Files to Change

• A precise list of the specific files that will need modification, along with an explanation of what needs to change in each.

Dependency Changes

• Any new packages or libraries that the change will require, with justification for why each is the appropriate choice.

Complexity Rating

• A clear signal — Low, Medium, or High — so you can prioritise accordingly and communicate effort to non-technical stakeholders.

A PRACTICAL EXAMPLE

To illustrate how powerful this is in practice, consider the prompt: "Add rate limiting to the API." This is a common, well-understood requirement — but its complexity varies enormously depending on the codebase in question.

For a project called NemoClaw, DeCoder assessed this change as Medium Complexity, with an estimated effort of around 30 hours. It immediately surfaced a Business Risk Assessment rated at Medium Risk — explaining that a poorly executed implementation could disrupt API access, block legitimate users, and potentially cause system downtime.

Key risks identified included:

Users may experience denied access due to incorrect rate limit configurations, leading to potential frustration and loss of clientele.

If the API experiences a surge in traffic without proper limits, it could lead to system overload, resulting in downtimes that may hinder business operations.

From there, Change Advisor generated a clear six-step implementation plan:

• Evaluate the current interaction patterns for the API endpoints to determine appropriate rate limits.

• Choose a suitable rate limiting algorithm — such as token bucket or leaky bucket — based on performance requirements.

• Modify the existing API functionalities in json_writer.py and structured.py to incorporate rate limiting logic.

• Add configuration parameters for rate limits in config.py to allow changes without further code modifications.

• Implement unit tests for the new rate limiting functionality to ensure it works correctly.

• Update the documentation related to API endpoints to inform users of the new rate limits.

The feature also identified the specific files that would need to change — json_writer.py, structured.py, and config.py — with an explanation of the role each modification would play. And it flagged flask-limiter as a new dependency, explaining precisely why it was the appropriate choice for this integration.

WHY THIS MATTERS

The value of Change Advisor extends well beyond the engineering team. For the first time, product managers, CTOs, and project stakeholders can receive a grounded, evidence-based answer to "how hard is this, really?" — without having to wait for a developer to conduct their own manual assessment.

It also brings a new standard of consistency to technical planning. Where previously an estimate might vary wildly depending on who you asked, Change Advisor applies the same analytical rigour to every request — reading the actual code, understanding the actual dependencies, and surfacing the actual risks specific to your project.

For teams working under pressure — and most are — this kind of upfront clarity is genuinely transformative. Surprises in software projects are rarely good ones. Removing them, before the first commit, is precisely what Change Advisor was built to do.

GETTING STARTED

Change Advisor is available now within DeCoder for any project that has been imported and analysed. Navigate to the Change Advisor tab on any Analysis Results page and describe the change you are considering. The analysis typically completes in a matter of seconds.

If you haven't yet imported a project, connect your GitHub repository from the DeCoder dashboard to get started. Once the analysis is complete, Change Advisor is ready to use immediately alongside DeCoder's other capabilities: Code Explorer, AI-Enhanced Code Understanding, and Code Smells Analysis.

See your codebase differently.