AI Tools

Elessar: AI-Powered Engineering Documentation and Reporting

Elessar AI Technical documentation and reporting

Elessar is an engineering productivity platform that leverages AI to automate documentation and reporting for software development teams. The tool connects various collaboration and project management systems like GitHub, Slack, and Notion to provide enhanced visibility into engineering workstreams.


Elessar is a SaaS or AIaaS platform designed to act as an engineering assistant to streamline documentation and communication workflows. It integrates with popular developer tools through lightweight extensions and bots. Once installed, Elessar automatically generates pull request changelogs, hosts discussions in Slack channels, documents progress in Notion, and sends digest emails.

The goal is to save engineers time spent on administrative tasks and equip managers with better visibility into team productivity. Elessar aims to upgrade legacy documentation practices to enable more efficient engineering.

Features & Benefits

AI-Generated Pull Request Changelogs

Elessar leverages AI to automatically create changelog summaries for every pull request. This eliminates the need for developers to manually compile changelogs, allowing them to focus on coding. The automated changelogs also ensure a consistent, standardized format across all pull requests.

Notion Documentation and Weekly Reports

Elessar documents all engineering progress and changes in a Notion workspace. This centralizes the documentation and makes it easily searchable. Elessar also automatically generates weekly status reports summarizing important updates.

Slack Channel Integration

For every pull request, Elessar creates a temporary Slack channel for all discussions and reviews related to that PR. The channels sync bi-directionally with GitHub, facilitating conversations alongside code. Elessar also posts AI-generated summaries in each channel.

In-Editor Documentation Search

The Elessar VS Code extension allows engineers to instantly search documentation and changelogs without leaving their editor. Developers can quickly lookup context on previous changes before making further edits.

Issue Tracking Integrations

Elessar connects with project management tools like Linear to link issues, tasks, and metrics to corresponding Slack channels and docs. This provides end-to-end visibility tying work items to discussions and code changes.

Daily Email Digests

To stay updated, engineers and managers can subscribe to Elessar’s daily email digests. These summarize the most important project updates, PRs, and notifications from the past day.


Elessar currently integrates with GitHub, Notion, Linear, Slack, and Email.


Elessar only accesses pull requests and issues, not the full codebase. PR diffs are processed through an encrypted pipeline and never stored. The platform is built on Google Cloud with SOC 2 compliance for enterprise-grade security. The use of OpenAI APIs ensures data privacy and that code snippets are not retained for model training.

Real-World Applications

Elessar is built to service software engineering teams across sectors like:

  • Web/Mobile Application Development
  • SaaS/Cloud Computing
  • DevOps/Site Reliability
  • Data Engineering
  • Machine Learning Engineering

The platform aims to enhance productivity and visibility for any team collaborating on a codebase. The automated documentation and reporting save time for developers and provide managers better insights into work progress.

Elessar Scenarios

Keeping Track of Engineering Workflows Elessar can help managers maintain visibility on progress as developers open pull requests, complete code reviews, merge changes, and deploy new features. The automated changelogs, notifications and reports give real-time insight.

Onboarding New Team Members When adding new engineers, Elessar provides easy access to historical documentation and discussions around past projects. This allows getting up to speed on how the team operates and prior work context.

Facilitating Handoff from Engineering to Support Once features are deployed, Elessar provides support and success teams with centralized docs to smooth customer hand-offs. The archives of engineering details prevent information loss.

Populating Release Notes Elessar’s changelogs can auto-populate release notes and updates for stakeholders. No need to manually compile updates after each release.

Discovering Context on Unfamiliar Code Developers can instantly search Elessar’s documentation when encountering legacy code or systems. This prevents having to interrupting colleagues to understand old changes.

Tracking Progress Over Sprints For agile teams, Elessar offers insights into velocity by tracking engineering work completed over each sprint. Managers can identify bottlenecks.

Auditing Development Processes The archived channels and changelogs allow auditing development practices over time. Useful for compliance, security, and quality control.

Defending Intellectual Property Elessar provides records of origination for innovative features to assist with patent filings and IP protection.

Diagnosing Team Collaboration Issues Engineering management can consult Elessar’s records to diagnose where collaboration issues exist and whether improvements may be needed.

Disaster Recovery for Codebases Elessar’s docs could assist in codebase recovery scenarios after data loss by providing details on past states.

Pricing & Discounts

Elessar offers a free 1-month trial followed by simple monthly per-user pricing:

PlanPrice Per User/MonthDetails
Pro$7Full capabilities. Integrations, security, support included.
EnterpriseCustom QuoteSelf-hosted version. For 100+ users.

Volume discounts available for larger teams. Contact sales for enterprise pricing.


While Elessar delivers notable efficiency gains, there are some limitations to consider:

  • Primarily optimizes documentation workflows. Less impact on planning or design processes.
  • Focused on serving software engineering teams. Not as applicable to non-technical teams.
  • Proprietary summarization AI can misinterpret complex code changes. Manual oversight still required.
  • Potential learning curve adopting new documentation practices and tools.


When evaluating Elessar, organizations should weigh a few potential concerns:

  • Data Privacy: The platform accesses potentially sensitive code, issues, and conversations. Proper vetting of security protections required.
  • Compatibility: Currently focused on GitHub, Slack, Notion. Support for additional tools still limited.
  • Change Management: Adoption may be challenging if teams are accustomed to legacy documentation practices.

Elessar aims to address these concerns by only accessing necessary data through read-only permissions, expanding integrations, and assisting customers with onboarding.

Future Outlook

As Elessar continues maturing, some possible enhancements include:

  • Support for GitLab, Jira, Confluence to cover more toolchains.
  • Customizable templates and workflows for company-specific documentation needs.
  • AI assistance for coding, not just documenting – suggesting fixes, optimizations.
  • Mobile access and notifications to stay connected to work on-the-go.
  • Analytics dashboards delivering deep visibility into engineering productivity metrics.

The platform’s rapid development and backing by AI leader Anthropic suggests an ambitious roadmap prioritizing customer feature requests.

Elessar provides teams with an intriguing option to overhaul legacy documentation systems with AI. While still a relatively new offering, early signs indicate the potential for meaningful productivity gains and improved engineering visibility. Organizations willing to pilot an AI-driven approach may find Elessar a viable solution. However, prudent evaluation of concerns around privacy, security, and change management remains vital before adoption.


What’s documentation in software engineering?

Documentation simply explains how the code and systems actually work. It covers the architecture, algorithms, APIs, testing, deployment – everything developers need to know. Well-documented codescales; poorly documented code becomes legacy spaghetti.

How to structure engineering docs?

Standard templates, intuitive organization, easy to find – that’s effective doc structure. Architectural diagrams, API specs, inline comments, wikis, readmes all have their place. Single source of truth, visual aids, brevity, user feedback – these principles optimize docs for development velocity.

Viewing pull request changes – how’s it done?

When a PR pops, hit the Files Changed tab to see the diffs. Green and red highlights show the additions and deletions. For big changes, clone locally and test before approving. Convo threads also provide context on the why and what of changes.

Evaluating a codebase – where to start?

Design, structure, docs, tests, debt, dependencies – these attributes indicate codebase quality. Modularity, naming, separation of concerns, DRY, extensibility patterns matter. Static analysis, licensing and dependency versions too. Assess against quality standards like SOLID.

Bug tracking vs issue tracking – what’s the diff?

Bugs are defects and errors. Issue tracking handles all work items like features, improvements, tasks. Bug trackers focus on debugging; issue trackers encompass anything business or dev-related. Subtle difference but important as projects scale.

Read More about AI:
Share to...