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Performance review template for a software engineer
A ready-to-use, section-by-section template with the competencies that matter for a software engineer, role-specific example phrases, and a guard against the stock filler that makes most reviews read as generic. Copy the structure, fill in your evidence, or skip the writing entirely with Crestento.
The template
Four sections, in this order. Length should match the evidence you have — a thin section is honest; an invented paragraph is not.
Summary
One or two paragraphs setting the context: what was expected of software engineer — mid-level this period, and your overall verdict. Lead with the headline.
Example phrasing
“Owned the queue-migration project from design doc through cutover, took p95 latency from 380ms to 90ms, ran a clean on-call rotation across the year, and reviewed PRs at a higher quality bar than the team average (substantive feedback on architecture, not just style nits).”
Strengths
The behaviours and outcomes that made the work happen. Anchor in evidence: projects / features shipped end-to-end, code-review participation (count + substance), on-call incidents handled and post-mortem quality.
- Evidence for: shipping production code at steady cadence.
- Evidence for: code review quality (giving and receiving).
- Evidence for: design-doc rigor on non-trivial work.
- Evidence for: on-call discipline and incident response.
Areas for Growth
Forward-looking development edges. Frame as opportunities, not deficiencies. Specific behaviours to develop, not generic software engineer — mid-level criticism.
- One pattern observed across the period.
- One specific behaviour to develop.
- One concrete next step.
Goals for the Next Period
Two or three concrete goals. Each should name a specific behaviour change, a measurable target, and a deadline. Avoid vague aspirations.
Competencies to evaluate
The 7 competencies a strong software engineer review structures around, in priority order. Use these as the spine of the Strengths and Areas for Growth sections.
- shipping production code at steady cadence
- code review quality (giving and receiving)
- design-doc rigor on non-trivial work
- on-call discipline and incident response
- cross-team collaboration (PM, design, infra)
- system-design judgement (right-sized solutions)
- mentorship of more junior engineers
Before you write
Mid-level engineers ship reliably without supervision and are starting to shape decisions beyond their immediate work. Strong mid-level engineers write design docs that change how the team thinks, give code reviews that make the codebase better over time, and handle on-call cleanly. Weak mid-level engineers stay heads-down on tickets and avoid the design work that would advance them to senior.
Evidence to gather
Strong reviews for a software engineer cite evidence of these shapes. Only use a specific value (a percentage, a count, a dollar amount) if you actually have it — don’t invent a number to sound concrete.
- projects / features shipped end-to-end
- code-review participation (count + substance)
- on-call incidents handled and post-mortem quality
- production incidents caused (and trend)
- design docs authored or substantively reviewed
- p95 latency / error rate on owned services
Where to find the evidence
Work products a software engineer produces. Reference these by name in the review when they’re relevant — it signals you know the work.
- design docs (RFCs, ADRs)
- pull requests (theirs and their reviews on others')
- post-mortems for incidents they owned
- on-call shift handovers
- mentoring notes on junior engineers
- service-level dashboards for owned services
Phrasing that lands vs phrasing that doesn’t
Strong — specific, evidenced, role-appropriate
“Owned the queue-migration project from design doc through cutover, took p95 latency from 380ms to 90ms, ran a clean on-call rotation across the year, and reviewed PRs at a higher quality bar than the team average (substantive feedback on architecture, not just style nits).”
Weak — vague, unevidenced, generic
“Strong engineer, ships consistently.”
Phrases to never use
Stock filler that AI-written software engineer reviews slip into. Managers spot it instantly. Rewrite to name a specific behaviour instead.
- “strong engineer”
- “ships consistently”
- “great team player”
- “10x developer”
- “ninja coder”
- “passionate about software”
- “consistently delivers high-quality code”
- “rockstar engineer”
- “go-getter on the team”
- “natural problem solver”
Don’t invent these specifics
The details an AI tends to fabricate for software engineerreviews. If you don’t have the specific number, name, or date in your notes, leave it out — generic-but-honest beats specific-but- invented every time.
- specific p95 latency or error-rate numbers not in input
- named systems or services worked on not mentioned
- specific PR counts or code-review volumes not provided
- named incidents handled not in input
- particular technical decisions (database, framework, architecture) not referenced
- specific languages or frameworks not mentioned
Skip the template, generate the review
Drop your bullet points into Crestento and it produces the polished draft using this exact template structure, tuned for a software engineer. Two reviews free, no card.
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