Context for AI Agents
Context In.Rework out.
Bootstrap your AI coding agents with institutional knowledge with Clara. Less WTF code. More one-shot success.
AI that unlocks major productivity, instead of just shifting bottlenecks
Automate context delivery
Eliminates hours of hand-feeding context, tuning prompts for every PR, and manually maintaining rules files.
Accelerate agentic PRs
Agents produce code that embodies your tribal knowledge and meets your internal standards—sailing through review.
Maintain human oversight
Human-in-the-loop guardrails ensure engineers refine specs, review and approve changes to ensure quality.
Train your agents the same way your best engineers learn: through experience
Give your agents tenure, overnight
Clara feeds your AI coding agents context derived from past PRs and tickets, until success rates soar.
- Historical task and code replay to extract the context agents need.
- Spot-on context generation per repo, including patterns, dependencies, and failure modes.
- Battle-tested rules that include only what’s proven to improve output in replay simulations.
Assign Clara, Get a PR
Your context is documented and planted directly into agentic workflows so agents can produce ready-to-merge code.
- Automatic Jira ticket enhancement—from one-line descriptions to detailed specs and acceptance criteria.
- Disambiguated implementation plans that flag open issues to engineers for resolution before coding begins.
- Code generation with the agents you already use like Claude, Codex, Copilot, Cursor, and more.
Humans-in-the-loop, by design
Clara generates a pull request, but your developers review and merge it, maintaining quality gates while accelerating delivery.
- Humans review, comment, and approve agentic code, exchanging with Clara just like they do with peers.
- Developer feedback becomes part of your reusable context, so agents don’t ask twice.
- Context can be leveraged to train new hires and upskill the workforce.
Self-optimizing as your codebase evolves
Clara captures feedback from every merged PR and code review to refine agent behavior, ensuring your AI gets smarter about your codebase with each iteration.
- Learns from every agent trace and human exchange.
- Updates context graph from recently completed tasks and PRs.
- Generates digests to keep engineers informed of codebase changes.
Discover what context can do for complex engineering work.
See the platform in action.