Content par jayen

Engineering operations

Reference build

Bug triage time cut by 70%

An agent that reads incoming bug reports, attempts reproduction from the available context, and routes what it cannot reproduce with the specific questions that would unblock it.

70%less triage time

Aik nazar mein

Muddat
13 hafte
Team ka hajm
1 fard
Muahide ki naueeyat
Nayi tameer
Project ki qism
AI aur automation
Shoba
B2B SaaS

Soorat-e-haal

Challenge kya tha

Most triage effort goes into reports that cannot be reproduced as written. The information needed is usually knowable, but asking for it is manual and repetitive.

Hum ne kya kiya

Attempt reproduction automatically, and when that fails, ask precisely for the missing piece rather than sending a generic request for more detail.

Wo faisle jo aham the

  • Reproduction attempted before routing

    The agent tries the steps against available context first, so a triaged bug arrives with evidence attached.

  • Specific questions, not 'please provide more information'

    When reproduction fails, the agent names what is missing. Generic requests are why bug reports stall.

Kya badla

reduction in triage time
70%reduction in triage time
of unreproducible reports return specific questions
100%of unreproducible reports return specific questions

Triage time down 70%, with unreproducible reports returned carrying the specific questions that would resolve them.

Istemal shuda khidmaat

  • Automated reproduction attempts against report context
  • Structured triage output with severity and routing
  • Targeted follow-up question generation

Hum kya mukhtalif karte

Har mansoobe mein aisi aik baat hoti hai. Ise shaya karna hi asal nukta hai — jis case study mein koi pachhtawa na ho wo saboot nahi, tashheer hai.

Knowing when to stop was the design problem. An agent that keeps trying to reproduce a bug burns more time than the triage it replaced.

Istemal shuda khidmaat

Mazeed kaam

Shuru karne ke liye tayyar hain?

Aisa hi project shuru karenKaam