Stop Writing Monthly Dev Reports by Hand — Automate Them with Eigent and Ollama Cloud
Most engineering teams spend 30–60 minutes every month doing the same thing: logging into GitHub, scrolling through merged PRs, copying titles into a document, writing summaries, formatting the layout, drafting a Slack post, and finally hitting send. It's important work that nobody enjoys.
Monthly dev report automation with Eigent eliminates that entire routine. Using DeepSeek V4 Pro served through Ollama Cloud, Eigent pulls last month's merged pull requests from your GitHub repository, compiles a structured Word document summary, and posts the report directly to your Slack channel — all from a single prompt. Ollama Cloud gives you on-demand access to DeepSeek's frontier reasoning model without any local hardware setup, making this workflow available to any team member regardless of their machine specs.
This guide walks through every step of the workflow exactly as it runs in the demo.
Connect DeepSeek V4 Pro via Ollama Cloud
The foundation of this automated engineering report workflow is DeepSeek V4 Pro running on Ollama Cloud — no local installation, no GPU required. Sign in to ollama.ai and generate an API key from your account dashboard.
In Eigent's model settings, set the model provider to Ollama, enter your Ollama Cloud API key, and select deepseek-v4-pro:cloud as the active model. Eigent will route all inference requests to Ollama's cloud infrastructure, giving you access to DeepSeek's full parameter count without needing to run anything locally.
Create a New Worker with the Slack Tool
Before running the task, create a dedicated worker in Eigent and equip it with the Slack tool. In the Eigent workspace, add a new worker and open its tool configuration. Enable the Slack tool and authenticate with your Slack workspace — this grants the worker permission to read channels and post messages on your behalf.
Once the Slack tool is connected, this worker is ready to handle the final delivery step: drafting and sending the monthly report message to your product-release channel. Separating this into its own worker keeps the workflow modular — the browser agent handles GitHub, and the Slack worker handles distribution.
Give Eigent the Prompt
The task is described in plain language:
Check the repo's PR updates from last month at https://github.com/eigent-ai/eigent, write a clear monthly summary as a Word document. Once it's done, draft a Slack message and send it to my product-release Slack channel with the summary document.
That single prompt is all Eigent needs. You can extend it to narrow the scope ("only include PRs merged after May 1"), request a specific grouping ("organise by feature area, not by author"), or ask for callouts ("flag any PR marked as a breaking change"). The more context you provide, the more tailored the output.
Browser Agent Opens GitHub and Reviews the PRs
Eigent's browser agent takes over and opens GitHub directly in a browser window. It navigates to the repository's Pull Requests page, applies the merged filter, and scrolls through the PR list to find all the relevant entries from last month.
For each PR that meets the criteria, the agent clicks in to open it, reads the title, description, author, merge date, and any labels or linked milestones, then moves on to the next one. The entire browsing session — opening tabs, scrolling, clicking, reading — happens visibly in the browser, just as a human reviewer would do it, only without the fatigue.
Once all the required PRs have been reviewed, the agent hands the collected data off for report generation.
Generating the Monthly Dev Report Document
With the raw PR data collected, Eigent structures it into a coherent narrative. It identifies themes across the changes — new features, bug fixes, infrastructure work — and drafts readable prose around them rather than just printing a list of titles.
The output is a .docx Word document saved to your desktop. The default structure includes:
- Executive Summary — a short paragraph capturing the month's most significant developments
- Feature Releases — new user-facing capabilities that shipped
- Bug Fixes & Improvements — stability, performance, and reliability work
- Infrastructure & Tooling — internal changes, dependency updates, CI/CD improvements
- Contributors — recognition of everyone who merged code this month
Every section is formatted for readability and ready to share with engineering leads, product managers, or the broader team.
Drafting and Sending the Slack Report
Once the Word document is complete, Eigent drafts a concise Slack message — written for a busy channel where people skim rather than read. The message summarises the month's highlights in a few tight sentences or bullet points and links directly to the full .docx report.
Eigent then posts the message to your configured product-release Slack channel. You can review the draft before it sends, or refine the tone on the spot:
Make the Slack message punchier — bullet points only, drop the intro paragraph.
Add a thank-you line at the top for the contributors this month.
The message and the document go out together, giving your team a fast skim and a deep-dive in one go.
Why This Workflow Matters for Engineering Teams
Manual monthly reporting is a solved problem that most teams haven't automated yet. The friction is real: you need to remember to do it, find time in a busy schedule, maintain a consistent format, and then distribute it somewhere people will actually read it.
Automated engineering reports with Eigent remove all of that friction. The workflow is consistent — same structure, same format, same distribution channel every month. It's fast — the entire pipeline runs in minutes, not an hour. And because DeepSeek V4 Pro is served through Ollama Cloud, there's no hardware barrier: anyone on the team can trigger the workflow from any machine, without needing a local GPU or a complex model installation.
Ollama Cloud also means the model is always available, always up-to-date, and scales to handle longer PR histories or larger repositories without choking on memory. The result is a reporting habit that actually sticks, because the effort required to maintain it is near zero.
What to Try Next
Schedule this workflow to run automatically on the first working day of every month.
Run the same prompt across three different repositories and combine the results into a single cross-team report.
Add a section that flags PRs labelled "breaking change" so stakeholders see the risks upfront.
Generate the same report in English and Japanese for distributed teams.
Compare this month's PR volume and themes to last month's and have Eigent write a brief velocity commentary.
Use the completed .docx as input for Eigent to create a presentation slide deck for the sprint review.
Tips for Better Results
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Be explicit about the date range. Eigent defaults to the past 30 days, but if your reporting month doesn't align with a rolling window, specify exact dates — "PRs merged between May 1 and May 31" — for a precise cut.
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Invest in good PR descriptions. The quality of the generated summary is directly tied to the quality of your PR titles and descriptions. Teams that write clear, descriptive PR titles get more useful reports without any extra prompt engineering.
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Customise the document sections. Tell Eigent which sections matter to your audience: "skip the Infrastructure section" or "add a Risks & Blockers section" to match the format your stakeholders already expect.
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Use Ollama Cloud for consistent results across the team. Because the model runs on Ollama's infrastructure rather than individual machines, everyone on the team gets the same model version and performance — no discrepancies from different local setups or hardware differences.
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Pair with Eigent's scheduling skill. Set up the prompt as a recurring scheduled task so the report drafts and posts itself — no calendar reminder needed, no manual trigger required every month.
