Updated · 10 min read
Technical authoring software
Compare six technical authoring software options by who writes your docs and how content ships. Includes MadCap Flare, RoboHelp, Paligo, ClickHelp, GitBook, and HelpNDoc.
Updated · 15 min read
Build a self-updating documentation workflow from code changes to verified pages. Compare review boundaries, repeated runs, pauses, recovery, and current tools.
A product change merges and a documentation bot opens a useful pull request. A month later, an access failure stops a run, a release ships while the source is paused, and the quickstart still describes last week's behavior. The first draft worked. The ongoing workflow has a coverage gap.
Self-updating documentation is a workflow that repeatedly detects relevant changes, proposes affected content updates, validates them, and carries approved changes through publication and verification. Teams can automate different parts of that workflow. The name alone does not tell you which steps run, which sources are covered, or who decides that an update can go live.
This guide is for engineering and documentation teams whose customer-facing content lives in Git. It explains automated documentation updates after pull request merges, current Thally Track setup, and how to keep the workflow accountable across later changes. We build Thally. Product capabilities below come from official documentation, not a hands-on accuracy benchmark.
Treat a documentation PR as an intermediate result. A complete workflow needs these stages:

Before enabling ongoing updates, write down the boundaries your team will operate:
Check these boundaries again when a repository, branch, product version, or destination changes. Adding a new watcher does not establish that earlier releases were reviewed.
Use the source of truth that fits each kind of content:
| Content | Automation | What still needs review |
|---|---|---|
| API reference | Generate from the released OpenAPI specification | Whether the specification matches the deployed API |
| SDK and CLI reference | Generate from the release's types, comments, and command definitions | Missing explanations and compatibility notes |
| Code samples | Import tested examples from versioned source | Whether the example demonstrates the task the page promises |
| Guides, tutorials, and help articles | Analyze the product change and draft affected prose | Behavior, release timing, completeness, and reader context |
Generating reference material does not update every guide that mentions the same behavior. A reminder that says “check the docs” leaves that discovery work to a person. Change-driven automation needs to connect a specific source change to specific claims in the content.
For the broader process, start with keeping documentation in sync with code. For workflow files and cross-repository notifications, use the CI documentation updates guide.
Suppose a fictional Acme SDK release replaces timeout_ms with requestTimeoutMs. For this example, the new version rejects the old key. That is an illustrative compatibility rule, not a claim about an actual SDK.
An effective documentation update traces the change beyond the configuration reference:
| Page | Before the change | Required update |
|---|---|---|
| Configuration reference | Lists timeout_ms | Document requestTimeoutMs and its unit |
| Quickstart | Initializes the new SDK with the old key | Replace the key and test the complete example against the new version |
| Migration guide | Has no entry for the rename | State the affected version, before/after names, and upgrade action |
| Troubleshooting | Suggests increasing timeout_ms | Use the new name for the new version |
| Older-version docs | Correctly document the previous SDK | Keep the old key and make version applicability clear |
A global find-and-replace would damage the older-version docs. A useful draft explains why each edited page applies to the new release and why an apparently related page stays unchanged.
The review handoff needs the source PR or commit, the affected release, the page and claim being changed, and the proposed correction. Uncertainty belongs in that handoff. The writer must not invent a new default or claim backward compatibility without evidence.
Use the Acme rename above as one case in a longer acceptance check. The worksheet below is hypothetical. It describes evidence to collect from your chosen workflow, not results from a tool run.
| Event | What to establish | Evidence to retain |
|---|---|---|
| First scheduled check | Whether it audits existing docs or establishes a starting revision | Coverage start and a separate decision about older inaccuracies |
| Public rename in a new release | Required pages change while older-version pages remain valid | Source revision, expected pages, reviewed edits, and release version |
| Internal refactor | A confirmed no-change outcome is distinguishable from a stopped run | Run result and the reason no user-facing claim needs an update |
| Access failure | The change remains uncovered until recovery is verified | Failed revision, error, recovery owner, and follow-up result |
| Source paused while changes ship | The missed interval is explicitly reviewed | Last covered revision, later changes, and the chosen backfill procedure |
| Same event delivered again | Duplicate delivery does not create conflicting work | Source identity, trigger, and resulting run or PR identities |
| An incorrect update is published | The correction restores the intended released behavior | Revert or correction, related product version, and live-page check |
For Thally specifically, the Track guide says the first scheduled check establishes a branch revision. Later checks compare from that point. It also documents duplicate-delivery handling. Pull request updates and merged changes remain separate review points, so two different triggers are not necessarily duplicate events.
For any system, inspect its pause and backfill rules before relying on recovery. If the documentation does not establish them, keep the interval uncovered until you have reviewed the changes and verified the necessary updates. Do not mark a source revision covered solely because a retry started.

Track requires Thally Cloud access, including an active trial, and consumes shared workspace AI credits. The open-source publishing engine and the managed Track service are separate. Check current plans and the Track setup guide before starting.
In Thally Cloud, open your site and select Track. An owner or editor can connect Product sources after authorizing the Thally GitHub App for the relevant repositories.
Select the product repository and base branch. Add path filters if only part of a monorepo defines the product you document. For the Acme example, include the SDK implementation and configuration schema. Watching only the API specification would miss an SDK-only rename.
A site can watch multiple Product sources, such as an API, SDK, and web application. Confirm the branch explicitly. A merge into a different release branch does not establish that the change shipped on the tracked branch.
New sites default to Merged changes. This starts a check when a PR merges into the configured branch. Track also supports Pull request updates for trusted, same-repository, non-draft PRs and Scheduled checks for periodic branch comparisons. Trigger settings apply across the site's enabled Product sources.
For pre-merge drafting, enable Pull request updates. Forks and untrusted contributor PRs do not qualify for that trigger. Scheduled checks establish a branch checkpoint on the first run and compare later changes against it. See the trigger rules for details.
A code merge is not necessarily a release. A feature flag, staged rollout, or unpublished SDK package can leave the public product unchanged. Draft after merge if that suits your workflow, then hold the documentation merge until the documented behavior is available. For breaking changes, review code and docs together and coordinate publication with the release owner.
The primary documentation repository is one destination. If the same behavior appears in a website or Git-backed help center, go to Site settings → Knowledge surfaces and connect those repositories as additional destinations.
Confirm each destination's branch, optional root, and exact allowed files or directories. These are content repositories the GitHub App can access, not an automatic connection to every hosted support platform. Existing JSX and TSX destinations allow visible prose edits within the documented publication limits.
Each qualifying event creates independent runs for the primary docs and enabled surfaces. An affected repository can receive a ready-for-review PR while another finishes without a change. Adding a destination later does not retroactively include it in an earlier event. The Knowledge surfaces guide defines the scope and validation rules.
On the Track page, inspect the source revision, destination, and final result:
Track never merges its own PRs. The primary docs publish through the normal release path after review and validation. Knowledge surfaces use their own reviewers, checks, previews, and publishing workflows. Thally does not build or publish those destination repositories, so their checks remain your responsibility.
Review an automated PR with the same standards as a human contribution:
llms-full.txt, and MCP content where the publishing system uses them. Check the changed page appears with the same facts and version.Neither an MCP endpoint nor llms.txt keeps an old page accurate. They expose content to clients. Agent-readable documentation still needs a maintained source, correct version, and refreshed published outputs.
Automated maintenance is available in several platforms. Compare the trigger, destination, and review boundary rather than assuming only one product can read code:
| Tool | Documented workflow | What to confirm |
|---|---|---|
| Thally Track | Product-source events create PRs ready for review in affected connected content repositories | Source paths, destination scopes, Cloud access, and each repository's checks |
| Mintlify Autopilot | Beta agent proposes code-driven updates and performs ongoing maintenance | Pro or Enterprise, connected sources, credits, launch handling, and missed intervals |
| Mintlify Automations | Configured prompts run on selected triggers, including code-change events | Pro or Enterprise eligibility and the configured review or direct-merge policy |
| ReadMe GitHub AI Writer | Connected PRs produce proposed updates on a ReadMe review branch | Pro or above and when the documentation should be published relative to the code |
| GitBook Agent for GitHub | A GitHub PR or issue mention supplies context for a linked GitBook change request | Whether an on-request trigger meets your post-merge automation requirement |
Mintlify's Autopilot documentation distinguishes it from configurable Automations. Its default work includes code-change suggestions and a daily quality check. For feature launches, it can maintain a draft docs PR as code merges, then mark it ready when code has merged or a launch date is set. That readiness still needs your release review.
Autopilot pauses when credits run out or the plan no longer includes it. On resume, it builds context on changes during the pause but does not create updates for them. This is a concrete reason to inspect backfill behavior rather than assume resumption repairs missed work. These beta capabilities require Pro or Enterprise. Review current plans and credit rules.
These are documented capabilities, not a ranking of draft quality. The documentation automation software comparison covers the wider category.
Choose a small set of past changes with known outcomes: a public rename, a changed default, a new feature, and an internal refactor that needs no docs. Before running a tool, write down the pages you expect to change and the pages that must stay intact.
Then record missed pages, unnecessary edits, unsupported claims, and reviewer corrections. Include a change that affects a separate help article or website if that destination matters to you. Keep the source PR and resulting docs PR together so another reviewer can reproduce the assessment. Do not count the number of opened PRs as a quality score.
If a merge produces no draft, check the configured repository, base branch, enabled triggers, watched paths, and destination access. Distinguish a no-change decision from a stopped run. If the tool missed a known affected page, correct the docs and review the source scope rather than assuming silence means accuracy.
If a draft states behavior you cannot verify, edit or reject it. If an incorrect change is already published, revert through the destination's normal Git workflow and confirm the corrected release is live. Preserve the source change and failed suggestion as an evaluation case.
Pause the relevant source or destination while resolving repeated failures. Record the last covered revision and review the intervening changes before treating a resumed workflow as complete. Confirm how your tool handles that interval. Existing PRs still need a decision from your team. Automation reduces discovery and drafting work, but an owner must still handle release timing, review, and recovery.
Try the Track demo on your recent merged PRs, then compare its findings with the pages you expected to change. For ongoing automation, Thally Cloud includes Track and currently offers a 7-day trial without a credit card. Connect one source first, exercise the acceptance cases above, and expand destination scope when the drafts meet your team's bar. Assign a recurring owner review of stopped runs, uncovered intervals, and waiting PRs. Repeat the checks when source scope or release policy changes.
Reviewed October 28, 2026 against the live Thally Track guide, Knowledge surfaces contract, and canonical pricing. Competitor workflows, including Mintlify Autopilot beta, were checked against the official sources linked above. The lifecycle and operating boundaries are editorial recommendations. The Acme rename and repeated-run worksheet are hypothetical acceptance examples with no executable SDK sample. This article does not claim a measured detection rate, time saving, or hands-on comparison. Read our editorial policy for the review process.
Published under the Thally editorial policy. Technical conformance is defined in the agent-readiness methodology.
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