Chronicler for Software Engineers

Build your record automatically. Your best work is already documented somewhere, across chats with your AI agents, commits, PRs, tickets, docs, meetings. Chronicler brings that context together automatically, without asking you to put in any work.

Open Chronicler after a busy week and find your contributions already there: what you shipped, the problems you worked through, the decisions you made, and the people you helped unblock.

Everything is stored in markdown, a portable format that works naturally with AI agents and the tools you already use.

See all your work organized in a coherent structure. Chronicler organizes your contributions into a structured record that reflects the projects you've driven, the capabilities you've demonstrated, and the impact you've had over time.

Explore your work through the lenses that matter: technical execution, system design, collaboration, and leadership. Every capability is backed by the projects, contributions, and outcomes that demonstrate it.

As your record grows, patterns emerge. You can see how your scope has expanded, where you've developed expertise, and how your judgment has evolved across projects and teams.

Write your self-review from months of evidence, not memory. A strong self-review should reflect the full scope of your work: the projects you shipped, the problems you solved, the judgment you demonstrated, and the ways your role expanded.

Chronicler assembles the record it built throughout the review period into a clear first draft, grounded in specific contributions and examples. Decisions, tradeoffs, incidents, mentoring, collaboration, and outcomes are already there.

Instead of trying to remember everything in one afternoon, you refine the story and choose what matters most.

You show up prepared, confident, and able to support every claim.

Use manager 1:1s to build your narrative, week-by-week. Most engineers wait until review season to explain their impact. By then, important work has been forgotten, context has disappeared, and both you and your manager are reconstructing the year from memory.

Chronicler turns your recent contributions into a manager-ready 1:1 report. Instead of reciting tickets, you can discuss what mattered, the decisions you made, where you created leverage, and what changed because of your work.

Each conversation adds to a shared understanding of your contribution. Your manager asks better questions, recognizes work they might have missed, and sees the full picture while it is still fresh.

Managers finally see the full scope of your contributions.

Generate your next self-review with confidence, backed by months of evidence. Most engineers ask ChatGPT to write a self-review from incomplete context. By review time, the decisions, tradeoffs, mentoring, and leadership that mattered are easy to forget.

Chronicler captures your work as it happens and builds the evidence over time. When review season arrives, you start from a draft grounded in real contributions—not a blank page and a fading memory.

You refine the narrative, highlight what mattered most, and show up ready to advocate for yourself.

Build your record in an agent-friendly format. Chronicler stores your work in markdown: a simple, readable format you can open, edit, export, and use almost anywhere.

Your record isn't locked inside a proprietary database or limited to a single interface. It can move between tools, work naturally with AI agents, and remain useful as technology changes.

Give your AI tools context of what you did. General-purpose LLMs can often help reconstruct your contributions from scattered documents, messages, and whatever context you can provide. But they're forced to infer the story after the fact, which means important work gets missed, details get distorted, and the results depend heavily on what information happens to be available. Starting from a structured record gives AI a much stronger foundation, one grounded in what you actually did, how your work evolved, and the impact you've had over time.

Chronicler makes your structured record available through MCP, so the AI tools you already use can query your contributions, projects, and work history directly.

Ask an agent to prepare your next 1:1, find evidence of technical leadership, surface examples of system design, or help draft a self-review grounded in work you actually did.

You don't have to reconstruct the context or explain yourself from scratch. Your AI already has the record.

Own a record that travels with you. The record of your contribution should not disappear when you lose access to a company's GitHub, Linear, Slack, or internal docs.

Chronicler gives you a record you own and can carry across employers. Use it to prepare for future interviews, explain the progression of your work, and give your AI tools lasting context about your experience.

Your roles may change. The story of what you built, how you thought, and how you grew remains yours.

This is your record. It comes with you.