Anecdote vs deadline
Engineering asks for time to clean up. Product hears a story, not a number. Feature work wins by default.
“How much of this sprint was actually maintenance?”
Developers feel the drag every day. Leadership asks for a number. You open a spreadsheet of guesses — while the same fragile files get patched again.
TechnicalDept turns your Git history into a clear feature-vs-maintenance ratio and a shared backlog of the files that hurt most.
₹500 / developer / month · or ₹15,000 Team ≤20 seats
Feature vs maintenance
Classified
847
Flagged
24
Repos
3
Top risky files
Backlog
Small and mid-size teams know maintenance is eating capacity. They just can’t prove it — or point to where to fix it first.
Engineering asks for time to clean up. Product hears a story, not a number. Feature work wins by default.
Risky files live in verbal complaints and tribal knowledge. Nothing ranks what causes repeated bug-fix churn.
Static-analysis platforms are priced and scoped for large orgs. Most teams need visibility and prioritization — not another code scanner.
TechnicalDept is a lightweight multi-tenant dashboard for product teams and agencies. Read-only Git access. Configurable classification. A backlog the whole team can use.
Connect GitHub or GitLab and select the repos that matter.
Every commit/PR is classified as Feature Work or Maintenance/Fix Work.
Flag risky files, vote with the team, and rank by severity + bug-fix touch frequency.
01
Admin signs in with GitHub or GitLab OAuth, picks tracked repositories, and invites the team. Read commit metadata and file paths — never file contents, never push access.
02
Incoming commits are labeled Feature or Maintenance using configurable keywords and change heuristics. Admins can override with an audit trail when the model gets it wrong.
03
Overview shows feature-vs-maintenance % over a date range, with trends and team or individual filters — framed for planning, not surveillance.
04
Contributors flag painful files with severity. The backlog ranks what keeps breaking. Open file detail for touches, timeline, and history.
Feature-versus-maintenance share, trend over recent weeks, and filters for the whole team or a single contributor. Export when you need the ratio in a deck or planning doc.
Maintenance share · 38%
Feature work trending up
Anyone with Contributor access can flag a path and set severity. Duplicate flags become votes. Maintenance touch frequency and last-touched dates keep the ranking honest.
Ranked by pain
Per-workspace rules catch your commit style. Try a message before you save. Manual reclassify recalculates the ratio with who changed it and when.
Try a commit message
Priced for small and mid-size teams — well below heavy static-analysis platforms — so the ratio and backlog are actually affordable to keep on.
Pricing is a working assumption for AVIRO.ONE launch materials and may be finalized before public billing. Contact us for early access.
“We finally walked into planning with a maintenance share we could defend — not a gut feel from Slack.”
“The backlog made the ‘scary files’ conversation concrete. High severity plus repeated bug-fix touches rose on their own.”
“It’s planning data, not a personal scoreboard. That framing mattered for getting contributors to flag files.”
Git access, classification, pricing, and what we deliberately leave out.
Engineering managers, CTOs, and product engineering teams (including agencies) who need a defensible feature-vs-maintenance number and a shared way to prioritize risky files — without buying a heavy static-analysis platform.
GitHub and GitLab in the initial release. We read commit metadata, PRs, and file paths. We do not read file contents and we do not require push access.
Commits and PRs are labeled Feature Work or Maintenance/Fix Work using configurable keywords and change heuristics (for example, maintenance when only existing files change). Admins can edit rules and manually override classifications with an audit trail.
No. Individual views exist for capacity and planning context. The product is framed against personal scoreboards — success is better planning conversations, not ranking people.
Working launch pricing: ₹500 per developer per month, or a Team tier at ₹15,000 per month for up to 20 seats. Final public billing may be confirmed with early customers.
Deep static analysis, AI auto-refactor, ticketing/sprint replacement, and trackers like Jira or Linear are out of the initial release. TechnicalDept is visibility and prioritization — not a code scanner or PM suite.