Stop AI Coding Agents From Chasing Stale TODOs

An AI coding agent can be productive and still spend time solving the wrong problem. Old TODO comments, obsolete bug references, and abandoned design notes look like instructions when they enter the agent’s context.

Google’s November 6, 2026 analysis of agent distraction examined large-scale coding-agent traces and found that stale or unrelated TODO references can trigger unrequested investigation and code changes. Google reported substantial additional steps, tokens, and wait time in distracted sessions. The commercial lesson for SMBs is broader: cleaner context and explicit scope controls reduce waste and unauthorized changes.

Why codebase clutter affects agents differently

A human developer may recognize an old TODO as harmless history. An agent sees text inside a relevant file and may infer that it belongs to the current task. Greater tool access increases the cost of that mistake because the agent can search tickets, edit adjacent files, run migrations, or change tests.

The solution is not to remove every TODO. It is to make active work distinguishable from historical context and require the agent to honor the requested scope.

Common distraction sources

Closed bug references

A comment may point to a ticket that was fixed years ago. If the source no longer needs the reminder, remove it. If history matters, move the explanation to durable documentation or version control.

Open but unrelated tasks

An active TODO may still be outside the current request. Agents should not expand scope merely because they discover nearby work.

Outdated setup documentation

Old commands, retired services, and copied examples can send an agent toward insecure or incompatible implementation paths.

Generated or vendored code

Comments inside dependencies or generated files may look actionable but should not be edited directly. Mark these areas clearly and restrict write access.

A practical SMB example

A small ecommerce company asks an AI coding agent to add error handling to a checkout webhook. In a shared utility file, the agent encounters a TODO referencing an old inventory bug. It investigates the ticket, changes inventory logic, and updates tests outside the requested webhook task.

The final diff is larger, review takes longer, and the unrelated change creates release risk. A better workflow defines allowed files, states that discovered issues must be reported rather than fixed, blocks writes to inventory modules, and requires approval before the task can expand.

Clean the context before delegating

Audit actionable comments

Search for TODO, FIXME, HACK, ticket IDs, and temporary-workaround language. Confirm whether each reference is active, closed, duplicated, restricted, or obsolete. Remove or update misleading comments.

Keep one source of truth

Use the issue tracker for current work status. Code comments should explain why the code behaves a certain way, not attempt to mirror an entire ticket backlog.

Separate instructions from history

Place agent instructions in reviewed project documentation. Clearly label examples, archived decisions, and deprecated procedures.

Control the task during execution

Define the objective and boundaries

Specify the requested outcome, permitted files or modules, tests to run, and forbidden actions. State what the agent should do when it finds adjacent defects.

Use read-only discovery first

Ask for a plan and affected-file list before authorizing edits. Review whether the proposed work matches the business request.

Limit tools and permissions

Do not give production credentials or broad write access for a narrow code task. Separate local testing, staging, and production deployment.

Require approval for scope changes

If the agent discovers a real but unrelated issue, it should create a concise finding and stop. A person decides whether to open a separate task.

Review the complete diff

Check changed files, deleted safeguards, dependency changes, configuration, generated artifacts, and tests. A passing test suite does not prove the scope was appropriate.

Implementation checklist

  • Remove or update stale TODO and FIXME comments.
  • Link active comments to a current, accessible issue.
  • Mark generated, vendored, and protected areas.
  • Define allowed files and forbidden actions in the task.
  • Require a plan before edits for higher-risk work.
  • Use branch protection and human review.
  • Run security, unit, integration, and regression checks.
  • Create separate tickets for adjacent discoveries.

Measurement guidance

Track files changed per task, out-of-scope diffs, reopened work, review time, reverted changes, test failures, token or compute use, and cycle time. Compare scoped tasks with tasks that allowed broad exploration.

Quality measures should include whether the requested customer or operational problem was solved. A technically elegant side quest is still waste if the primary defect remains.

How DIGIMAR can help

DIGIMAR’s web development services can help clean technical debt, document release procedures, and implement guarded development workflows. Its AI automation services can add evaluation, approval, logging, and exception handling around agent-assisted work.

For Maya and other customer-response systems, the same principle applies: the system should answer the inquiry it received, qualify the correct need, perform only configured actions, and escalate adjacent issues without inventing new scope.

Next step

Choose one repository used with coding agents. Review the most frequently encountered TODOs, remove stale references, add a task-boundary template, and measure the next ten agent-assisted changes for scope expansion and rework.

Create an agent-ready change protocol

Teams can turn scope control into a repeatable template. Every task should state the business outcome, approved repository and branch, allowed modules, prohibited systems, expected tests, and completion evidence. Add a short “discovered issues” section where the agent records adjacent concerns without editing them.

Use different permission levels for discovery, implementation, and deployment. During discovery, the agent can search and propose a plan without writing. During implementation, grant only the files and local tools required. Production deployment should remain a separate, reviewed action with its own credentials and rollback procedure.

Make context quality part of maintenance

Code review should ask whether new comments will still be accurate six months later. Prefer explanations of invariants and safety constraints over reminders that duplicate tickets. When a temporary workaround is necessary, include an owner, current issue, removal condition, and review date.

Evaluate the requested outcome

Agent evaluation should not stop at tests passing. Check whether the original business defect is fixed, the user journey remains intact, observability is adequate, and the diff contains no unrelated behavior. High-risk changes may also require security review, dependency checks, performance testing, or a staged release.

  • Compare planned and changed files.
  • Record every scope expansion and approver.
  • Review new TODOs before merge.
  • Test rollback in staging.
  • Feed recurring distractions into repository cleanup.