Migrating from Appfire Flow: a practical guide for engineering teams

This guide covers what to secure before your account closes, how to run a focused evaluation without taking every vendor demo that lands in your inbox, and what LinearB offers teams migrating off Flow. It also includes a candid comparison of the other platforms you'll hear from. Use it to make a confident decision.

Four decisions shape your evaluation more than any feature comparison chart. Get clear on them before you take a single demo.

1. Secure your historical data first

Flow holds your engineering metrics history: cycle time trends, deployment frequency baselines, and PR review data. Before your account closes, export everything you might need for year-over-year comparisons. Ask whether each platform you evaluate can ingest that export or whether you start from zero.

2. Map the processes built on top of Flow

Some teams use Flow for weekly team reviews. Others have built executive dashboards shared with the CTO, automated reports sent to stakeholders, or internal processes tied to specific Flow features. Map these before you evaluate. You're replacing the workflows your team built, not just the tool.

3. Identify your real deadline

Contract end is not your only deadline. If leadership reviews engineering metrics monthly, your real deadline is the next leadership presentation. If developers depend on daily data, your deadline is sooner. Know what you're racing against before you start evaluating.

4. Know who needs to sign off and what they care about

Your VP of Engineering needs to know the platform is proven. Your CISO needs to know it's secure. Your CFO wants to know the budget is covered. Your engineering managers want to know their teams won't lose two weeks to onboarding. Consult these stakeholders before you've picked a winner.

Every metric and report you tracked in Flow is available in LinearB. The DORA metrics framework, tracked by DORA Research as the standard for software delivery performance, is fully implemented: deployment frequency, lead time for changes, change failure rate, and mean time to restore. The table below maps Flow features to their LinearB equivalents.

Direct migration from the Flow API, automated

A dedicated migration tool pulls your team hierarchy, users, and membership assignments directly from the Flow API and recreates them in LinearB in a single automated run. Your org structure carries over with no CSV exports and no manual mapping. 

Teams, users (email-addressable), and team memberships migrate automatically. Hidden teams, SSO-only users, and membership roles are not included in the automated migration. LinearB's onboarding team handles edge cases during your first two weeks.

The forced migration is disruptive. It is also the moment to land on a platform that does what Flow never could. Here is what becomes available when you move.

Workflow automation that removes bottlenecks

Flow showed you where work was slowing down. gitStream, LinearB's workflow automation engine, removes those slowdowns with intelligent PR routing, policy-based approvals, automated review assignments, and real-time developer notifications. Yum! Brands automated 321 engineering hours per month. Expedia Group ran 3 million workflow automations and recovered 2,000 engineering hours per month that had previously been lost to manual review overhead. (LinearB customer data, 2024.)

AI impact tracking across every tool your team uses

Flow was built before AI-assisted development was a meaningful category. It cannot tell you whether GitHub Copilot, Cursor, or your team's other tools are improving delivery throughput or adding review load. Track AI adoption and impact across 50+ tools, with every data point connected to actual delivery outcomes at the pull request level. The PR is the unit of value, not adoption dashboards or seat license counts. AI code review catches quality and compliance risks in AI-generated code before they reach production.

Developer experience surveys, connected to your delivery data

Quantitative metrics tell you what is happening. Developer experience surveys tell you why. Combine delivery metrics with integrated qualitative surveys to get a complete picture of team health, friction points, and satisfaction trends. Expedia Group improved developer satisfaction by 22% after deploying developer surveys alongside their delivery data. (LinearB customer data, 2024.) That measurement aligned developer experience investments with the engineering work that was creating friction, not just reported sentiment.

Operate with a measurement framework, not just metrics

Most platforms give you metrics. Get the APEX framework: a structured operating model covering AI leverage (A), predictability (P), flow efficiency (E), and developer experience (X). APEX treats AI as a first-class production contributor measured in the critical path, not tracked as a side experiment. It connects the four outcomes that determine whether your engineering organization is improving, and gives your engineering managers a weekly operating cadence rather than a quarterly reporting event.

Prove engineering's value to the business

Project forecasting, cost capitalization, and resource allocation reporting give you the tools to connect engineering investment to business outcomes in language that finance and executive stakeholders understand. From sprint planning to board decks, you lead with evidence. See how to put those metrics to work in LinearB's guide to engineering productivity metrics.

You don't have six months for an RFP. You don't need one. A four-week sprint gives you enough signal to make a confident decision.

Week 1: Shortlist and requirements

Based on your pre-evaluation answers, shortlist two or three platforms. Use your mapped processes and stakeholder concerns to filter quickly. Don't take every call you're offered.

Week 2: Data-first demos

Ask each vendor to connect to your actual repository, not a demo environment, and show you what your data looks like in their platform. This one ask tells you more than an hour of slides.

Week 3: Migration clarity

For each shortlisted vendor, get specific answers. How long does onboarding take? What does data import look like? Who supports the migration, and what is their SLA?

Week 4: Decision and business case

Choose your platform. Use the internal memo structure below to fast-track sign-off with your VP of Engineering and finance stakeholders.

The five criteria that matter most in a forced migration

• Data continuity: can you import Flow history? Do you start from a baseline or from zero?
• Time to first value: how quickly does the team see useful data after connecting?
• Process migration: does the platform cover what Flow covered, and does it replace the processes built on top of it?
• Migration support: is there a structured onboarding program, or do you figure it out yourself?
• What you gain: is this a lateral move or an upgrade? Make it an upgrade.

Internal memo template for sign-off

We're migrating from Appfire Flow following the product sunset announcement. After evaluating the options, I'm recommending LinearB as our next engineering productivity platform.

LinearB covers everything Flow provided, including DORA metrics, cycle time tracking, and engineering dashboards, and adds workflow automation, AI impact tracking, developer surveys, and the APEX measurement framework.

LinearB is SOC 2 Type II and ISO 27001 certified and is a Gartner Magic Quadrant Leader for 2026. The budget was already approved: it was paying for Flow. I'm recommending we redirect it here.

Onboarding timeline: 90 days with a dedicated Customer Success Manager from day one.

Your inbox has been busy since Appfire made the announcement. Everyone in the engineering productivity category knows Flow customers are evaluating. Here is a candid brief on the platforms you'll most likely hear from. Unlike platforms that offer passive metrics or surface-level adoption tracking, LinearB provides real-time visibility and developer-first automation. The table below is written in the same voice for every vendor, including LinearB at the end.

For LinearB's honest self-assessment: we cover everything Flow did and go further with gitStream workflow automation, AI code review, AI impact tracking across 50+ tools, developer surveys, project forecasting, cost capitalization, and APEX. What to pressure-test: our learning curve is real. Ask us to demo with your data on the first call. Ask about the onboarding program. Ask whether we can show you teams at your scale.

Every LinearB customer gets a structured 90-day onboarding program with a dedicated Customer Success Manager from day one. The program is built for migrations, not fresh installs.

Technical setup in five steps

The technical setup happens in five steps, typically completed in the first two weeks.

1. Connect your systems — Git and project management connected; data starts flowing immediately
2. Configure data accuracy — Release detection, exclusions, and aggregation settings calibrated to your environment
3. Organize teams — Groups, teams, repo and board mapping established using your migrated Flow structure
4. Enable automation — AI services, WorkerB, and gitStream activated for your workflows
5. Review and iterate — 30-day pulse check with your CSM to confirm value and plan next use cases

Throughout onboarding, your CSM tracks progress against the APEX framework: AI leverage, predictability, flow efficiency, and developer experience. These four pillars determine whether the platform is delivering value.

Frequently asked questions

How long does it take to migrate from Appfire Flow to LinearB?

Technical onboarding takes one to two weeks. Your team structure migrates from the Flow API in a single automated run. Full rollout to all engineering teams is typically complete within 30 to 60 days, depending on org size. Your CSM owns the migration timeline and handles edge cases.

Can LinearB import my historical data from Flow?

LinearB can ingest Flow data exports for year-over-year trend analysis. Your historical cycle time, deployment frequency, and PR review data carries over. You do not start from zero. LinearB's onboarding team advises on the export and import process during your first week.

Is the budget already approved for a replacement platform?

In most cases, yes. The budget was paying for Flow. Leadership already knows a change is required. Procurement and security conversations have a shorter path when the alternative is having no platform at all. The internal memo template in this guide is designed for exactly that conversation.

What security certifications does LinearB hold?

LinearB is SOC 2 Type II and ISO 27001 certified. LinearB never indexes your code. Full security documentation is available for your CISO review on request.

What is gitStream and do we need it?

gitStream is LinearB's PR automation engine. It handles PR routing, policy-based approvals, automated review assignments, and developer notifications. It is optional but consistently delivers the fastest return on investment: Yum! Brands automated 321 engineering hours per month in the first 90 days. Teams that activate gitStream during onboarding see faster time to value.

How does LinearB measure AI tool impact?

LinearB tracks AI adoption and output across 50+ tools, including GitHub Copilot, Cursor, and agentic coding tools, at the pull request level. You get data on AI-assisted PR volume, merge rates, review time for AI-generated code, and human-to-AI contribution ratios. AI code review catches quality risks in AI-generated code before merge.

Let us show you what LinearB can do

We're not going to promise a perfect demo of your exact data on day one. What we will do is show you exactly how LinearB works, walk you through an environment built to reflect your team's setup, and get you hands-on with the platform before you commit to anything.

We ship new features regularly. Your CSM will be with you from day one to make sure you're set up correctly and seeing value. The goal is a successful migration, not a great demo.

Talk to an expert at linearb.io/book-a-demo