πŸ’» Daksh for Software Development

Ship with full context.
Debug 2Γ— faster.

From service ownership to code review context to incident root causes β€” Daksh gives software teams the full picture across every tool they use.

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2Γ—
faster mean time to resolution (MTTR) during incidents
50%
reduction in "who owns this?" interruptions across the team
4h
saved per developer per week finding codebase context
The problem

Developers lose hours to
context switching

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No one knows who owns what

Microservices proliferate. CODEOWNERS files drift. Asking who owns a service requires interrupting 3 people.

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Debugging takes longer than it should

Developers spend half their debugging time reading Slack history and past Jira bugs to understand if this error has appeared before.

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Code review context gets lost

Reviewers don't have the full picture β€” why was this decision made? What's the related ticket? What changed in the last PR?

How it works

Any dev question.
Full context, instantly.

Daksh searches GitHub, Jira, Confluence, and Slack simultaneously β€” surfacing service owners, past incidents, architecture decisions, and PR context in one answer.

Service catalogue search. Find who owns any microservice, its SLA, tech stack, and documentation β€” in one search.
πŸ”’ app.dakshapp.com
Who owns the notification service and what does it do?
✦ Daksh AI Answer

The notification service is owned by the Platform team (primary: Vikram Rao). It handles email, push, and SMS delivery via third-party providers. SLA: 99.9% delivery within 60s. Architecture doc and API spec in Confluence.

Sources: Confluence CODEOWNERS #platform-team
Notification Service β€” Architecture & Ownership
Confluence Β· Platform team Β· Updated this month
99%
CODEOWNERS β€” notification-service
GitHub Β· Updated 1 month ago
92%
Has the JWT token validation error appeared before and how was it fixed?
✦ Daksh AI Answer

Yes β€” this error occurred in Aug 2024 (INC-3341). Root cause: token clock skew > 30s due to NTP misconfiguration on auth pods. Fix: added 60s leeway to JWT validation and patched NTP config. PR #1982 on GitHub.

Sources: Jira INC-3341 PR #1982 #incidents
INC-3341 β€” JWT validation failures Β· Root cause: NTP skew
Jira Β· Resolved Β· 6 months ago
99%
PR #1982: Add JWT clock leeway + NTP fix
GitHub Β· Merged 6 months ago
95%
What's the context behind the rate-limiting refactor in the API gateway?
✦ Daksh AI Answer

Rate limiting was refactored to use Redis-based sliding window (PR #2901) after the DDoS incident in Oct 2024. Decision was to move from in-memory to distributed rate limiting to support horizontal scaling. ADR in Confluence.

Sources: PR #2901 ADR-052 PLAT-881
ADR-052: Distributed Rate Limiting β€” Architecture
Confluence Β· Engineering Β· 3 months ago
98%
PR #2901: Refactor API gateway rate limiting
GitHub Β· Merged 3 months ago
94%
Features for Software Development

Built for how developers
think and work

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Service catalogue search

Find who owns any microservice, its SLA, tech stack, and documentation β€” in one search.

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Historical bug context

Search past incidents and bug reports to see if an error has occurred before and how it was fixed.

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Code review context

Reviewers can instantly find the related ticket, ADR, and past PRs to review changes with full context.

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Real-time codebase sync

Daksh re-indexes on every PR merge and Confluence edit β€” architecture docs are always current.

Integrations

Connects to every tool
your dev team uses

GitHub
Bitbucket
Jira
Confluence
Slack
G
Gong

Give your developers
the full picture.

See how Daksh eliminates context-switching and speeds up development cycles in a 30-minute demo.

Request a demo for Software Development Start free trial